Triple

T2059843
Position Surface form Disambiguated ID Type / Status
Subject Heathrow Terminal 5 E45765 entity
Predicate hasPart P35 FINISHED
Object Terminal 5B E88066 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 5B | Statement: [Heathrow Terminal 5, hasPart, Terminal 5B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 5B
Context triple: [Heathrow Terminal 5, hasPart, Terminal 5B]
  • A. Terminal 5 chosen
    Terminal 5 is a major, modern passenger terminal at London Heathrow Airport primarily serving British Airways and Iberia flights.
  • B. Terminal 5
    Terminal 5 is the main international passenger terminal at Stockholm Arlanda Airport, handling a large share of the airport’s long-haul and major European flights.
  • C. Terminal 5
    Terminal 5 is one of the passenger terminals at Los Angeles International Airport, serving a mix of domestic and some international flights with various airlines and amenities.
  • D. Terminal 5
    Terminal 5 is one of the passenger terminals at José Martí International Airport in Havana, Cuba, serving specific airlines and routes.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9cfdac88190b8b7af1bfea6a78e completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271cb26c81908664f4c26f4fb5ea completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:40 p.m.