Triple

T15754417
Position Surface form Disambiguated ID Type / Status
Subject Niigata Albirex BB E381930 entity
Predicate homeArena P373 FINISHED
Object Toki Messe E537017 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: Toki Messe | Statement: [Niigata Albirex BB, homeArena, Toki Messe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toki Messe
Context triple: [Niigata Albirex BB, homeArena, Toki Messe]
  • A. Toki Messe chosen
    Toki Messe is a large convention and exhibition center in Niigata, Japan, known for hosting major events, trade shows, and cultural festivals.
  • B. Makuhari Messe
    Makuhari Messe is a major convention and exhibition center in Chiba, Japan, known for hosting large-scale trade shows, concerts, and events.
  • C. Jidai Matsuri
    Jidai Matsuri is a major annual historical parade in Kyoto that celebrates the city’s rich past with participants dressed in costumes from various eras of Japanese history.
  • D. Tokyo Big Sight
    Tokyo Big Sight is a major convention and exhibition center in Tokyo, Japan, known for its distinctive futuristic architecture and hosting large-scale events such as trade shows, conventions, and anime fairs.
  • E. Toshimaen
    Toshimaen was a historic amusement park in Tokyo, Japan, known for its classic rides, large swimming pool complex, and long-standing popularity with local families before its closure.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87714a8481909f8489c73ac89c11 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.