Triple

T5429002
Position Surface form Disambiguated ID Type / Status
Subject Visby Airport E121436 entity
Predicate hasTaxiService P24209 FINISHED
Object yes 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: yes | Statement: [Visby Airport, hasTaxiService, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTaxiService
Context triple: [Visby Airport, hasTaxiService, yes]
  • A. hasTaxiStand chosen
    Indicates that a location or facility includes or is served by a designated taxi stand area where taxis can wait for passengers.
  • B. hasBusServices
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • C. hasTugServices
    Indicates that tug assistance or towing services are provided or available for a given entity or location.
  • D. coordinatesTransportationServicesWith
    Indicates that one entity organizes and manages the alignment and collaboration of transportation services with another entity or set of entities.
  • E. hasTaxiway
    Indicates that an airport or runway is connected to or served by a taxiway used for aircraft ground movement.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8911a7348190ad9378a248190f07 completed March 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69bd846b8bdc81909dcdc2a3084226f2 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:06 p.m.