Triple

T790112
Position Surface form Disambiguated ID Type / Status
Subject Terminal 7 E16893 entity
Predicate adjacentTo P224 FINISHED
Object Terminal 6 E16416 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 6 | Statement: [Terminal 7, adjacentTo, Terminal 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 6
Context triple: [Terminal 7, adjacentTo, Terminal 6]
  • A. Terminal 6 chosen
    Terminal 6 is one of the passenger terminals at Los Angeles International Airport, serving a mix of domestic and some international flights for several major airlines.
  • B. Terminal 2E
    Terminal 2E is a major international passenger terminal at Paris Charles de Gaulle Airport, known for handling many long-haul and Air France flights.
  • 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 7
    Terminal 7 is one of the passenger terminals at Los Angeles International Airport, primarily serving United Airlines and its partner carriers.
  • E. Terminal 5
    Terminal 5 is the international terminal at Chicago O'Hare International Airport, serving most of the airport’s non-domestic and many foreign-flag carriers.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7841b0c8190859ecd247e32c6ec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c70e6eb48190b019759cd656e629 completed March 4, 2026, 5:45 a.m.
Created at: March 1, 2026, 7:38 p.m.