Triple

T11242350
Position Surface form Disambiguated ID Type / Status
Subject CYVR E266100 entity
Predicate hasTerminal P182 FINISHED
Object South Terminal E266103 NE 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: South Terminal | Statement: [CYVR, hasTerminal, South Terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Terminal
Context triple: [CYVR, hasTerminal, South Terminal]
  • A. South Terminal
    South Terminal is one of the two main passenger terminals at London Gatwick Airport, handling a large share of the airport’s flights and passenger services.
  • B. South Terminal
    South Terminal is one of the main passenger terminals at Miami International Airport, serving multiple airlines and handling a significant share of the airport’s domestic and international flights.
  • C. South Terminal
    South Terminal is one of the passenger terminals at Piarco International Airport in Trinidad and Tobago, serving travelers with check-in, boarding, and arrival facilities.
  • D. South Terminal chosen
    South Terminal is a secondary, smaller terminal at Vancouver International Airport that primarily serves regional and charter flights.
  • E. South Terminal
    South Terminal is a separate, smaller passenger terminal facility serving select low-cost and regional airlines at Austin–Bergstrom International Airport in Austin, Texas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91b0b808190bc38008bb344d180 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad849f70819098a7056fbc4831ff completed April 19, 2026, 10:25 a.m.
Created at: April 8, 2026, 9:30 p.m.