Triple

T325198
Position Surface form Disambiguated ID Type / Status
Subject KLAX E6499 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 8 E6500 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: Terminal 8 | Statement: [KLAX, hasTerminal, Terminal 8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 8
Context triple: [KLAX, hasTerminal, Terminal 8]
  • A. Terminal 8
    Terminal 8 is a major passenger terminal at New York’s John F. Kennedy International Airport, serving as a primary hub for American Airlines and several international carriers.
  • B. Terminal 8 chosen
    Terminal 8 is one of the passenger terminals at Los Angeles International Airport, serving as a boarding and arrivals facility for select domestic airline operations.
  • C. Terminal E
    Terminal E is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving international flights with modern facilities and connections to adjacent terminals.
  • D. Terminal B
    Terminal B is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving as a hub for domestic and selected international flights.
  • E. Terminal B
    Terminal B is one of the main passenger terminals at Luis Muñoz Marín International Airport in Puerto Rico, serving commercial airline operations and traveler services.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea959f9c819084602b8a1b5e66dd completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd2c45e881908f4508bcf9d7cae2 completed March 1, 2026, 6:31 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.