Triple

T14975121
Position Surface form Disambiguated ID Type / Status
Subject Koyasan Okunoin E373424 entity
Predicate dedicatedTo P500 FINISHED
Object Kobo Daishi E75515 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: Kobo Daishi | Statement: [Koyasan Okunoin, dedicatedTo, Kobo Daishi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kobo Daishi
Context triple: [Koyasan Okunoin, dedicatedTo, Kobo Daishi]
  • A. Kobo Daishi chosen
    Kobo Daishi, also known as Kukai, was a Japanese Buddhist monk, scholar, and founder of the Shingon school of esoteric Buddhism who became one of Japan’s most revered religious figures.
  • B. Nishiarai Daishi
    Nishiarai Daishi is a prominent Buddhist temple in Tokyo, Japan, known as a major pilgrimage site dedicated to warding off misfortune and bringing good luck.
  • C. Daishi
    Daishi is the posthumous honorific title granted to the Japanese Buddhist monk Kūkai, founder of the Shingon school of esoteric Buddhism.
  • D. Kaku Tomeo
    Kaku Tomeo was an Imperial Japanese Navy officer best known for commanding the aircraft carrier Hiryū during World War II, including at the Battle of Midway.
  • E. Kōtaigō Shōken
    Kōtaigō Shōken is the posthumous title of Empress Haruko, the consort of Emperor Meiji and Japan’s first modern empress.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e8733081908e06b53746eb6eb6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc625888190bf98eecf5f5b6707 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:51 a.m.