Triple

T13605517
Position Surface form Disambiguated ID Type / Status
Subject Decks Tokyo Beach E325050 entity
Predicate locatedNear P294 FINISHED
Object Aqua City Odaiba E335593 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: Aqua City Odaiba | Statement: [Decks Tokyo Beach, locatedNear, Aqua City Odaiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aqua City Odaiba
Context triple: [Decks Tokyo Beach, locatedNear, Aqua City Odaiba]
  • A. Aqua City Odaiba chosen
    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.
  • B. Odaiba
    Odaiba is a popular high-tech entertainment and shopping district built on a man-made island in Tokyo Bay.
  • C. Yokohama Hakkeijima Sea Paradise
    Yokohama Hakkeijima Sea Paradise is a large seaside amusement park and aquarium complex in Yokohama, Japan, known for its marine life exhibits, rides, and oceanfront attractions.
  • D. Yokohama Cosmo World
    Yokohama Cosmo World is an urban amusement park in Yokohama, Japan, best known for its large illuminated Ferris wheel and waterfront attractions.
  • E. Tokyo Joypolis
    Tokyo Joypolis is a large indoor Sega-themed amusement park in Tokyo featuring arcade games, virtual reality attractions, and interactive rides.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83aeeb48190b92b00366791ab15 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:50 p.m.