Triple

T4815854
Position Surface form Disambiguated ID Type / Status
Subject Tōdai-ji E107585 entity
Predicate hasPart P35 FINISHED
Object Daibutsuden E477868 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: Daibutsuden | Statement: [Tōdai-ji, hasPart, Daibutsuden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daibutsuden
Context triple: [Tōdai-ji, hasPart, Daibutsuden]
  • A. Daigo-ji
    Daigo-ji is a historic Buddhist temple complex in Kyoto, Japan, renowned for its association with Shingon Buddhism, ancient pagoda, and UNESCO World Heritage status.
  • B. Daibutsu chosen
    Daibutsu is the monumental Great Buddha statue of Nara, a colossal bronze image of Vairocana Buddha and one of Japan’s most famous religious icons.
  • C. Tōshōdai-ji
    Tōshōdai-ji is an 8th-century Buddhist temple in Nara, Japan, renowned for its well-preserved classical architecture and association with the Chinese monk Jianzhen (Ganjin).
  • D. Ishiyama-dera
    Ishiyama-dera is a historic Buddhist temple in Japan renowned for its autumn foliage, cultural treasures, and association with the author of The Tale of Genji.
  • E. Ryōzenji
    Ryōzenji is a Buddhist temple in Tokushima Prefecture, Japan, best known as the traditional starting point of the Shikoku 88-temple pilgrimage.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c8230888190a676695e51cb3ea4 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beef8499148190968800153a95174a completed March 21, 2026, 7:20 p.m.
Created at: March 20, 2026, 1:23 p.m.