Triple

T255830
Position Surface form Disambiguated ID Type / Status
Subject San Diego International Airport E5434 entity
Predicate hasCargoService P2420 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: [San Diego International Airport, hasCargoService, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCargoService
Context triple: [San Diego International Airport, hasCargoService, yes]
  • A. hasCargoTerminal chosen
    Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
  • B. mainCargo
    Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
  • C. hasGroundTransportation
    Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
  • D. hasServiceTo
    Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
  • E. hasBaggageSystem
    Indicates that an entity is equipped with or utilizes a baggage handling system.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d5669008190978bbd7308be11f7 completed Feb. 28, 2026, 3:13 a.m.
PD Predicate disambiguation batch_69a25b694c08819085bb4b256fa7736f completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.