Triple

T12780154
Position Surface form Disambiguated ID Type / Status
Subject Chūō, Tokyo E305484 entity
Predicate hasLandmark P105 FINISHED
Object Kabuki-za Theatre E355189 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: Kabuki-za Theatre | Statement: [Chūō, Tokyo, hasLandmark, Kabuki-za Theatre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabuki-za Theatre
Context triple: [Chūō, Tokyo, hasLandmark, Kabuki-za Theatre]
  • A. Kabuki-za Theatre chosen
    Kabuki-za Theatre is Tokyo’s principal and most famous kabuki playhouse, renowned for its traditional performances and historic architecture.
  • B. Ikeda Theater
    Ikeda Theater is a major performance venue within the Mesa Arts Center in Mesa, Arizona, known for hosting concerts, theater productions, and other large-scale cultural events.
  • C. 国立文楽劇場
    国立文楽劇場は、日本の伝統芸能である文楽を中心に上演するため大阪に設けられた国立の専門劇場です。
  • D. Takatsuki Arts Theatre
    Takatsuki Arts Theatre is a cultural and performing arts venue in Takatsuki, Japan, hosting concerts, theatrical productions, and community arts events.
  • E. Shinjuku Koma Theater
    Shinjuku Koma Theater was a famous large-scale entertainment venue in Tokyo’s Shinjuku district, known for hosting popular music, theater, and live performances until its closure and demolition in the late 2000s.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f685030cbc8190856bf5254e231d25 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.