Triple

T12017761
Position Surface form Disambiguated ID Type / Status
Subject Honen-in E286069 entity
Predicate dedicatedTo P500 FINISHED
Object Hōnen E292236 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: Hōnen | Statement: [Honen-in, dedicatedTo, Hōnen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hōnen
Context triple: [Honen-in, dedicatedTo, Hōnen]
  • A. Hōnen chosen
    Hōnen was a Japanese Buddhist priest who founded the Jōdo-shū (Pure Land) school and popularized exclusive nembutsu practice as the primary path to salvation.
  • B. Shinran
    Shinran was a Japanese Buddhist monk and religious reformer who founded the Jōdo Shinshū (True Pure Land) school, emphasizing salvation through faith in Amida Buddha.
  • C. Nichiren
    Nichiren was a 13th-century Japanese Buddhist monk who taught exclusive devotion to the Lotus Sutra as the sole path to enlightenment and inspired several influential Buddhist movements.
  • D. Honen-in
    Honen-in is a tranquil, moss-covered Buddhist temple in Kyoto known for its serene gardens and understated, contemplative atmosphere.
  • E. Kukai
    Kūkai was a Japanese Buddhist monk, scholar, poet, and calligrapher who founded the Shingon (Esoteric) school of Buddhism in Japan during the early Heian period.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903dabf2c819084dcaa05ae0a6018 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d4156ec8190bfc6d1180ac41d06 completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:47 p.m.