Triple

T15089265
Position Surface form Disambiguated ID Type / Status
Subject Temple 82: Negoroji E360372 entity
Predicate mainDeity P7648 FINISHED
Object Senju Kannon E824583 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: Senju Kannon | Statement: [Temple 82: Negoroji, mainDeity, Senju Kannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senju Kannon
Context triple: [Temple 82: Negoroji, mainDeity, Senju Kannon]
  • A. Iiyama Kannon
    Iiyama Kannon is a Buddhist temple and popular pilgrimage site in Atsugi, Japan, known for its scenic hillside setting and seasonal flower displays.
  • B. Koyasu Kannon chosen
    Koyasu Kannon is a form of the bodhisattva Kannon especially revered in Japan as a protector of pregnancy, safe childbirth, and child-rearing.
  • C. Tenjin-sama
    Tenjin-sama is the deified spirit of Sugawara no Michizane, revered in Japan as a powerful kami of scholarship, learning, and poetry.
  • D. Ōsu Kannon
    Ōsu Kannon is a famous Buddhist temple in Nagoya, Japan, known for its large wooden statue of Kannon and its surrounding shopping arcade.
  • E. Zaō Gongen
    Zaō Gongen is a syncretic mountain deity in Japanese religion, revered in Shugendō as a fierce protector and manifestation of multiple Buddhist and Shintō divinities.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00277ea808190be3f002a8316eff1 completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1ba4208190b1e8c55668a1b422 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.