Triple

T14572948
Position Surface form Disambiguated ID Type / Status
Subject Sōbu Line E341964 entity
Predicate hasService P182 FINISHED
Object Narita Express E201905 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 Express | Statement: [Sōbu Line, hasService, Narita Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narita Express
Context triple: [Sōbu Line, hasService, Narita Express]
  • A. Narita Express chosen
    Narita Express is a limited express train service in Japan that provides fast, direct rail connections between central Tokyo and Narita International Airport.
  • B. Keisei Skyliner
    Keisei Skyliner is a high-speed limited express train service in Japan that links central Tokyo with Narita International Airport.
  • C. Haruka limited express
    Haruka limited express is a Japanese limited express train service connecting Kansai International Airport with major destinations such as Kyoto and Osaka, primarily serving airport travelers.
  • D. Tsukuba Express
    Tsukuba Express is a high-speed commuter railway line in Japan connecting central Tokyo with the city of Tsukuba in Ibaraki Prefecture.
  • E. Ariake limited express
    Ariake limited express is a Japanese limited express train service in Kyushu known for connecting major cities such as Fukuoka and Kumamoto.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f33b1c8190bb447788bfd28d51 completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aca591081908db149ec517a999b completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.