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.