Triple

T8746871
Position Surface form Disambiguated ID Type / Status
Subject HNL E207851 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 3
Terminal 3 is one of the passenger terminals at Daniel K. Inouye International Airport (HNL) in Honolulu, Hawaii.
E208009 NE FINISHED

How this triple was built (4 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: [HNL, hasTerminal, Terminal 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 3
Context triple: [HNL, hasTerminal, Terminal 3]
  • A. 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.
  • B. 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.
  • C. Terminal 3
    Terminal 3 is one of the main passenger terminals at Fort Lauderdale–Hollywood International Airport, serving various domestic and international airline operations.
  • D. Terminal 3
    Terminal 3 is one of the main domestic passenger terminals at Melbourne Airport, serving several Australian airlines and routes.
  • E. Terminal 3
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Terminal 3
Triple: [HNL, hasTerminal, Terminal 3]
Generated description
Terminal 3 is one of the passenger terminals at Daniel K. Inouye International Airport (HNL) in Honolulu, Hawaii.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terminal 3
Target entity description: Terminal 3 is one of the passenger terminals at Daniel K. Inouye International Airport (HNL) in Honolulu, Hawaii.
  • A. Terminal 3 chosen
    Terminal 3 is one of the passenger terminals at Daniel K. Inouye International Airport in Honolulu, Hawaii, serving specific flights and airlines as part of the airport’s overall terminal complex.
  • B. Terminal 3
    Terminal 3 is Haneda Airport’s international terminal in Tokyo, serving as a major hub for overseas flights and passenger services.
  • C. Terminal 3
    Terminal 3 is one of the main passenger terminals at Fort Lauderdale–Hollywood International Airport, serving various domestic and international airline operations.
  • D. Terminal 3
    Terminal 3 is a modern passenger terminal at Soekarno–Hatta International Airport in Indonesia, serving as a major hub for both domestic and international flights.
  • E. 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.
  • F. None of above.

Provenance (5 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d75e7c88190a9e78fadb979e1b6 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4313630881909b946cb8a2bdf793 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf4462da648190a621397fa88dd4bd completed April 3, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf454c4d248190a925b15c23af1a24 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:39 p.m.