Triple

T12017867
Position Surface form Disambiguated ID Type / Status
Subject 哲学の道 E286071 entity
Predicate near P350 FINISHED
Object 永観堂
永観堂は、京都市左京区にある紅葉の名所として知られる浄土宗西山禅林寺派の古刹・禅林寺の通称です。
E963526 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: 永観堂 | Statement: [哲学の道, near, 永観堂]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 永観堂
Context triple: [哲学の道, near, 永観堂]
  • A. Engyō-ji Temple
    Engyō-ji Temple is an ancient Tendai Buddhist temple complex on Mount Shosha in Himeji, Japan, renowned for its historic wooden halls and scenic, forested setting.
  • B. Yamashina-dera
    Yamashina-dera was an early Buddhist temple in Japan that served as the predecessor and original site of the influential Kōfuku-ji temple associated with the powerful Fujiwara clan.
  • C. Hōrai-ji Temple
    Hōrai-ji Temple is a historic Buddhist temple and pilgrimage site in Japan, renowned for its mountainside setting, long stone stairway, and scenic views in Aichi Prefecture.
  • D. Zentsū-ji Temple
    Zentsū-ji Temple is a major Shingon Buddhist temple in Kagawa Prefecture, Japan, revered as the birthplace of the monk Kūkai (Kōbō Daishi) and one of the 88 temples on the Shikoku Pilgrimage.
  • E. Seiganto-ji Temple
    Seiganto-ji Temple is an ancient Buddhist temple in Wakayama Prefecture, Japan, famed for its picturesque pagoda standing before the dramatic Nachi Falls.
  • 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: 永観堂
Triple: [哲学の道, near, 永観堂]
Generated description
永観堂は、京都市左京区にある紅葉の名所として知られる浄土宗西山禅林寺派の古刹・禅林寺の通称です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 永観堂
Target entity description: 永観堂は、京都市左京区にある紅葉の名所として知られる浄土宗西山禅林寺派の古刹・禅林寺の通称です。
  • A. Engyō-ji Temple
    Engyō-ji Temple is an ancient Tendai Buddhist temple complex on Mount Shosha in Himeji, Japan, renowned for its historic wooden halls and scenic, forested setting.
  • B. Yamashina-dera
    Yamashina-dera was an early Buddhist temple in Japan that served as the predecessor and original site of the influential Kōfuku-ji temple associated with the powerful Fujiwara clan.
  • C. Hōrai-ji Temple
    Hōrai-ji Temple is a historic Buddhist temple and pilgrimage site in Japan, renowned for its mountainside setting, long stone stairway, and scenic views in Aichi Prefecture.
  • D. Zentsū-ji Temple
    Zentsū-ji Temple is a major Shingon Buddhist temple in Kagawa Prefecture, Japan, revered as the birthplace of the monk Kūkai (Kōbō Daishi) and one of the 88 temples on the Shikoku Pilgrimage.
  • E. Seiganto-ji Temple
    Seiganto-ji Temple is an ancient Buddhist temple in Wakayama Prefecture, Japan, famed for its picturesque pagoda standing before the dramatic Nachi Falls.
  • 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_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_69f5f64464a48190a2b96e39ab411115 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fde880f4819094b2170bf4e82138 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc563a08190b95db768df475a3a completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:47 p.m.