Triple

T13951135
Position Surface form Disambiguated ID Type / Status
Subject Kawasaki, Kanagawa E335525 entity
Predicate railwayHubFor P14468 FINISHED
Object Keikyū E548853 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: Keikyū | Statement: [Kawasaki, Kanagawa, railwayHubFor, Keikyū]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keikyū
Context triple: [Kawasaki, Kanagawa, railwayHubFor, Keikyū]
  • A. Keikyū chosen
    Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
  • B. Suō-Ōshima
    Suō-Ōshima is a large inhabited island in Japan’s Seto Inland Sea known for its scenic coastal landscapes, citrus cultivation, and cultural ties with Hawaii.
  • C. Mukōjima
    Mukōjima is a neighborhood in Tokyo’s Sumida ward known for its traditional atmosphere, historic geisha district, and riverside cherry blossom viewing along the Sumida River.
  • D. Tsukishima
    Tsukishima is a man-made island and residential district in Tokyo’s Chūō ward, known for its high-rise apartments and famous monjayaki restaurants.
  • E. Mikurajima
    Mikurajima is a small volcanic island in the Philippine Sea, known for its rich natural environment and dolphin-watching opportunities, and is part of Tokyo’s outlying Izu Islands.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e131c608190b4ffdbada24a3208 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec19c508190912c3fe186f8a992 completed May 11, 2026, 1:20 a.m.
Created at: April 9, 2026, 10:17 p.m.