Triple

T3795742
Position Surface form Disambiguated ID Type / Status
Subject Shingon Buddhism E89764 entity
Predicate branch P889 FINISHED
Object Buzan-ha
Buzan-ha is a major subsect of Japanese Shingon Buddhism known for its headquarters at Hase-dera Temple and its emphasis on esoteric practices and pilgrimage.
 E389568 NE FINISHED

How this triple was built (4 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: Buzan-ha | Statement: [Shingon Buddhism, branch, Buzan-ha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buzan-ha
Context triple: [Shingon Buddhism, branch, Buzan-ha]
  • A. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • B. Bomunsan
    Bomunsan is a prominent mountain and recreational area in Daejeon, South Korea, known for its hiking trails, temples, and city views.
  • C. Ōkuboji
    Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
  • D. Bugotu
    Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
  • E. Bunkachō
    Bunkachō is Japan’s national government agency responsible for promoting, preserving, and administering the country’s cultural affairs and heritage.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buzan-ha
Triple: [Shingon Buddhism, branch, Buzan-ha]
Generated description
Buzan-ha is a major subsect of Japanese Shingon Buddhism known for its headquarters at Hase-dera Temple and its emphasis on esoteric practices and pilgrimage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buzan-ha
Target entity description: Buzan-ha is a major subsect of Japanese Shingon Buddhism known for its headquarters at Hase-dera Temple and its emphasis on esoteric practices and pilgrimage.
  • A. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • B. Bomunsan
    Bomunsan is a prominent mountain and recreational area in Daejeon, South Korea, known for its hiking trails, temples, and city views.
  • C. Ōkuboji
    Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
  • D. Bugotu
    Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
  • E. Bunkachō
    Bunkachō is Japan’s national government agency responsible for promoting, preserving, and administering the country’s cultural affairs and heritage.
  • F. None of above. chosen

Provenance (5 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79f09bc8190b7514a11a030eba5 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05ea5e081908c4714ca35aed48b completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f2ed663c8190be431c7aae60259e completed March 14, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_69b4f72eba988190acb96b44fc8b7c30 completed March 14, 2026, 5:50 a.m.
Created at: March 9, 2026, 3:15 p.m.