Triple

T15089230
Position Surface form Disambiguated ID Type / Status
Subject Temple 62: Hōjuji E360370 entity
Predicate associatedWith P37 FINISHED
Object Kūkai E355588 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: Kūkai | Statement: [Temple 62: Hōjuji, associatedWith, Kūkai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kūkai
Context triple: [Temple 62: Hōjuji, associatedWith, Kūkai]
  • A. Kūkai chosen
    Kūkai was a Japanese Buddhist monk, scholar, poet, and founder of the Shingon (esoteric) school of Buddhism, revered as one of Japan’s most important religious figures.
  • B. Raikō-tō
    Raikō-tō is the Japanese name for Raikoke, an uninhabited volcanic island in Russia’s Kuril Islands chain known for its explosive eruptions.
  • C. Mount Tarumae
    Mount Tarumae is an active stratovolcano in Hokkaido, Japan, known for its lava dome and scenic hiking routes overlooking Lake Shikotsu.
  • D. Aso Five Peaks
    Aso Five Peaks is a dramatic cluster of volcanic summits forming the central caldera landscape of Mount Aso in Kumamoto Prefecture, Japan.
  • E. Kita-dake
    Kita-dake, also known as Mount Kita, is Japan's second-highest mountain and a prominent peak in the Akaishi (Southern Alps) range, popular with hikers and mountaineers.
  • 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_69ff3d3b3fc0819094daf892200bd1ac completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:04 a.m.