Triple

T180799
Position Surface form Disambiguated ID Type / Status
Subject Manchester Airport E3870 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 3 E10844 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 3 | Statement: [Manchester Airport, hasTerminal, Terminal 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 3
Context triple: [Manchester Airport, hasTerminal, Terminal 3]
  • A. Terminal 3
    Terminal 3 is one of the passenger terminals at Paris Charles de Gaulle Airport, primarily serving low-cost and charter airlines.
  • B. Terminal 3 chosen
    Terminal 3 is one of the passenger terminals at Manchester Airport, serving a range of domestic and international flights with dedicated check-in, security, and boarding facilities.
  • C. Terminal 3
    Terminal 3 is one of the passenger terminals at Los Angeles International Airport, serving as a hub for several domestic and international airline operations.
  • D. Terminal 3
    Terminal 3 is one of the main passenger terminals at Phoenix Sky Harbor International Airport, serving as a hub for multiple domestic and some international flights with modernized facilities and amenities.
  • E. 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.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25901a9188190b8f510bec8c8e7f2 completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fd0405608190bf4c1aa8a8fa9ad1 completed Feb. 28, 2026, 2:34 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.