Triple

T21519329
Position Surface form Disambiguated ID Type / Status
Subject Earth Celebration E530931 entity
Predicate mainPerformer P1363 FINISHED
Object Kodo 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: Kodo | Statement: [Earth Celebration, mainPerformer, Kodo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kodo
Context triple: [Earth Celebration, mainPerformer, Kodo]
  • A. Kodo
    Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
  • B. Kodo chosen
    Kodo is a renowned Japanese taiko drumming ensemble known for its powerful performances and promotion of traditional Japanese performing arts worldwide.
  • C. Kugu
    Kugu is an Aboriginal Australian language group traditionally associated with the Aurukun region of western Cape York Peninsula in Queensland.
  • D. Kichha
    Kichha is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural markets and proximity to the industrial hub of Rudrapur.
  • E. Koza
    Koza was the former name of what is now Okinawa City, a major urban center on Japan’s Okinawa Island known for its close historical ties to nearby U.S. military bases.
  • 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_69ee884af0f08190bc1f3d70e57a325d completed April 26, 2026, 9:48 p.m.
Created at: April 16, 2026, 6:26 p.m.