Triple

T21525852
Position Surface form Disambiguated ID Type / Status
Subject Rinkai Line E531093 entity
Predicate servesArea P82 FINISHED
Object Odaiba 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 | Statement: [Rinkai Line, servesArea, Odaiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odaiba
Context triple: [Rinkai Line, servesArea, Odaiba]
  • A. Odaiba chosen
    Odaiba is a popular high-tech entertainment and shopping district built on a man-made island in Tokyo Bay.
  • B. 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.
  • 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. Odaiba district
    Odaiba district is a popular high-tech entertainment and shopping area built on a man-made island in Tokyo Bay, known for its futuristic architecture, waterfront views, and major attractions.
  • E. Tokyo (Takeshiba Pier)
    Tokyo (Takeshiba Pier) is a waterfront ferry terminal in central Tokyo that serves as a major departure point for passenger ships traveling to the Ogasawara Islands and other outlying destinations.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee885073888190ae49f967f72acbf8 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.