Triple

T18339726
Position Surface form Disambiguated ID Type / Status
Subject Daigo-ji E439367 entity
Predicate alsoKnownAs P39 FINISHED
Object Daigoji 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: Daigoji | Statement: [Daigo-ji, alsoKnownAs, Daigoji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daigoji
Context triple: [Daigo-ji, alsoKnownAs, Daigoji]
  • A. Daigo-ji chosen
    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. Kasuga
    Kasuga was a Japanese warship active in the late 19th century, notably serving in the Boshin War as part of the modern Imperial forces.
  • C. Kasuga
    Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
  • D. Tairyuji
    Tairyuji is a Buddhist temple in Tokushima Prefecture, Japan, known as Temple 21 on the Shikoku Pilgrimage route.
  • E. Zuihoden
    Zuihoden is an ornate mausoleum in Sendai, Japan, built as the resting place of the powerful feudal lord Date Masamune and known for its richly decorated Momoyama-style architecture.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed07db48190a15e957c96b1c5bf completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.