Triple

T15347679
Position Surface form Disambiguated ID Type / Status
Subject Temple 24: Hotsumisakiji E366966 entity
Predicate hasJapaneseName P9882 FINISHED
Object 最御崎寺
最御崎寺 is a Shingon Buddhist temple in Muroto, Kōchi Prefecture, known as Temple 24 on the Shikoku Pilgrimage.
 E1151813 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: 最御崎寺 | Statement: [Temple 24: Hotsumisakiji, hasJapaneseName, 最御崎寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 最御崎寺
Context triple: [Temple 24: Hotsumisakiji, hasJapaneseName, 最御崎寺]
  • A. 仙洞御所
    仙洞御所 is a former residence of retired Japanese emperors located in Kyoto, now known for its historic gardens and limited guided public access.
  • B. 白峯寺
    白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
  • C. 弥谷寺
    弥谷寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, known as Temple 71 on the Shikoku Pilgrimage.
  • D. 園城寺
    園城寺 is a historic Tendai Buddhist temple complex in Ōtsu, Shiga Prefecture, Japan, renowned for its ancient halls, cultural treasures, and scenic setting near Lake Biwa.
  • E. 三井寺
    三井寺は、滋賀県大津市にある天台寺門宗の総本山で、琵琶湖近くに位置する歴史ある古刹です。
  • 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: 最御崎寺
Triple: [Temple 24: Hotsumisakiji, hasJapaneseName, 最御崎寺]
Generated description
最御崎寺 is a Shingon Buddhist temple in Muroto, Kōchi Prefecture, known as Temple 24 on the Shikoku Pilgrimage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 最御崎寺
Target entity description: 最御崎寺 is a Shingon Buddhist temple in Muroto, Kōchi Prefecture, known as Temple 24 on the Shikoku Pilgrimage.
  • A. 仙洞御所
    仙洞御所 is a former residence of retired Japanese emperors located in Kyoto, now known for its historic gardens and limited guided public access.
  • B. 白峯寺
    白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
  • C. 弥谷寺
    弥谷寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, known as Temple 71 on the Shikoku Pilgrimage.
  • D. 園城寺
    園城寺 is a historic Tendai Buddhist temple complex in Ōtsu, Shiga Prefecture, Japan, renowned for its ancient halls, cultural treasures, and scenic setting near Lake Biwa.
  • E. 三井寺
    三井寺は、滋賀県大津市にある天台寺門宗の総本山で、琵琶湖近くに位置する歴史ある古刹です。
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fb46b48190a030e40ee0163559 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff031869a481909911d251aa9ce3e8 completed May 9, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69ff03c0ebc081908b1a132256e9d004 completed May 9, 2026, 9:52 a.m.
Created at: April 10, 2026, 3:17 a.m.