Triple

T43079
Position Surface form Disambiguated ID Type / Status
Subject Terminal 4 (JFK) E846 entity
Predicate name P16 FINISHED
Object Terminal 4 E846 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 4 | Statement: [Terminal 4 (JFK), name, Terminal 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 4
Context triple: [Terminal 4 (JFK), name, Terminal 4]
  • A. Terminal 4 chosen
    Terminal 4 is a major international passenger terminal at John F. Kennedy International Airport in New York City, serving numerous global airlines and long-haul routes.
  • B. Terminal 5
    Terminal 5 is a major passenger terminal at John F. Kennedy International Airport in New York City, known for serving as the primary hub for JetBlue Airways.
  • C. Terminal 7
    Terminal 7 is one of the passenger terminals at John F. Kennedy International Airport in New York City, historically serving several international airlines.
  • D. Terminal 1
    Terminal 1 is one of the main passenger terminals at Ronald Reagan Washington National Airport, serving various domestic airline operations and traveler services.
  • E. Terminal 2
    Terminal 2 is a major passenger terminal at Ronald Reagan Washington National Airport serving numerous domestic airline operations and traveler amenities.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae236548190bd225d125f23e6c7 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2623cc3648190b2d86352406125e9 completed Feb. 28, 2026, 3:34 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.