Triple

T17674030
Position Surface form Disambiguated ID Type / Status
Subject EDDF E440598 entity
Predicate hasPlannedTerminal P10988 FINISHED
Object Terminal 3 NE NERFINISHED

How this triple was built (3 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: [EDDF, hasPlannedTerminal, Terminal 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 3
Context triple: [EDDF, hasPlannedTerminal, Terminal 3]
  • A. Terminal 3
    Terminal 3 is the main international passenger terminal at José Martí International Airport in Havana, Cuba, handling most long-haul and major airline operations.
  • B. Terminal 3
    Terminal 3 is one of the passenger terminals at Stockholm Arlanda Airport, serving regional and short-haul flights within the airport’s overall terminal complex.
  • C. Terminal 3
    Terminal 3 is one of the passenger terminals at Perth Airport in Western Australia, serving domestic airline operations and related airport services.
  • D. Terminal 3
    Terminal 3 is a major passenger terminal at Xi'an Xianyang International Airport, serving as one of its primary facilities for domestic and international flights.
  • E. Terminal 3
    Terminal 3 is a passenger terminal at Clark International Airport (RPLL) in the Philippines, serving commercial airline operations and traveler services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terminal 3
Target entity description: Terminal 3 is a planned future passenger terminal at Frankfurt Airport designed to expand the airport’s capacity and modernize its facilities.
  • A. Terminal 3 chosen
    Terminal 3 is a major new passenger terminal development at Frankfurt Airport designed to expand capacity and modernize the airport’s facilities.
  • B. Terminal 3
    Terminal 3 is a major new passenger terminal under development at Taiwan Taoyuan International Airport, intended to expand capacity and modernize the airport’s facilities.
  • C. Terminal 3
    Terminal 3 is a major passenger terminal at an airport, typically serving as a hub for numerous domestic and international flights with extensive check-in, security, and boarding facilities.
  • D. Terminal 3
    Terminal 3 is one of the passenger terminals at Bremen Airport in Germany, serving travelers with check-in, boarding, and related airport services.
  • E. Terminal 3
    Terminal 3 is a major passenger terminal at Dubai International Airport, primarily serving Emirates and known as one of the largest airport terminals in the world.
  • F. None of above.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6ba22081909e2099490c047378 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.