Triple

T14326679
Position Surface form Disambiguated ID Type / Status
Subject Utsunomiya E355232 entity
Predicate hasAirportAccessVia P4363 FINISHED
Object Narita International Airport E36529 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: Narita International Airport | Statement: [Utsunomiya, hasAirportAccessVia, Narita International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narita International Airport
Context triple: [Utsunomiya, hasAirportAccessVia, Narita International Airport]
  • A. Narita International Airport chosen
    Narita International Airport is a major international gateway to Japan and one of the primary airports serving the Greater Tokyo area.
  • B. Haneda Airport
    Haneda Airport is one of Tokyo’s primary international airports and one of Japan’s busiest air travel hubs.
  • C. Naha–Tokyo Haneda
    Naha–Tokyo Haneda is a major domestic air route in Japan connecting Okinawa’s capital Naha with Tokyo’s centrally located Haneda Airport.
  • D. Miyazaki–Tokyo Haneda
    Miyazaki–Tokyo Haneda is a domestic air route in Japan connecting Miyazaki Airport on Kyushu with Tokyo’s centrally located Haneda Airport.
  • E. Narita International Airport Terminal 1
    Narita International Airport Terminal 1 is one of the main passenger terminals at Narita International Airport near Tokyo, handling a large share of the airport’s international and domestic flights.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883e6a288190b6c22f630a1eef3c completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5506cfb08190b4754e16b83331bd completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:13 a.m.