Triple

T20429266
Position Surface form Disambiguated ID Type / Status
Subject Yurikamome Line E501085 entity
Predicate hasViewOf P854 FINISHED
Object Odaiba waterfront NE NERFINISHED

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: Odaiba waterfront | Statement: [Yurikamome Line, hasViewOf, Odaiba waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odaiba waterfront
Context triple: [Yurikamome Line, hasViewOf, Odaiba waterfront]
  • A. Odaiba chosen
    Odaiba is a popular high-tech entertainment and shopping district built on a man-made island in Tokyo Bay.
  • B. Yokohama waterfront
    The Yokohama waterfront is a prominent coastal district of Yokohama known for its modern skyline, entertainment attractions, and scenic views of Tokyo Bay.
  • C. Hayama Marina
    Hayama Marina is a coastal yacht harbor and marina complex in Hayama, Kanagawa Prefecture, Japan, known for recreational boating and waterfront leisure facilities.
  • D. Aqua City Odaiba
    Aqua City Odaiba is a large waterfront shopping and entertainment complex in Tokyo’s Odaiba district, featuring numerous shops, restaurants, a cinema, and views of Rainbow Bridge and Tokyo Bay.
  • E. Fushimi Port Park
    Fushimi Port Park is a riverside public park in Kyoto’s Fushimi ward, known for its waterfront scenery, walking paths, and recreational green space.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67bac39288190b294b291301ac843 completed April 20, 2026, 7:17 p.m.
Created at: April 16, 2026, 11:31 a.m.