Triple

T1549582
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2 (San Diego International Airport) E33056 entity
Predicate hasParkingAccess P1708 FINISHED
Object Terminal 2 parking facilities 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: Terminal 2 parking facilities | Statement: [Terminal 2 (San Diego International Airport), hasParkingAccess, Terminal 2 parking facilities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParkingAccess
Context triple: [Terminal 2 (San Diego International Airport), hasParkingAccess, Terminal 2 parking facilities]
  • A. hasParking chosen
    Indicates that a place or facility provides designated parking space(s) available for use.
  • B. hasPrimaryVehicularAccessTo
    Indicates that one location or entity serves as the main route or means by which vehicles can reach or enter another location or entity.
  • C. parkingType
    Indicates the specific kind or category of parking arrangement associated with an entity (e.g., street, garage, lot, reserved).
  • D. parkSystem
    Indicates a relationship where an entity is part of, managed by, or associated with an organized system of parks or protected recreational areas.
  • E. hasParkAndRideGarage
    Indicates that a location includes a parking facility where people can park their vehicles and transfer to public transit services.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa574094048190a2d7fc3ac904d51e completed March 6, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69a907b426dc8190975c024a50955368 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.