Triple
T16264147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 75: Zentsūji |
E394830
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
善通寺
善通寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, renowned as the birthplace and one of the principal pilgrimage sites associated with the monk Kūkai (Kōbō Daishi).
|
E1204197
|
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: 善通寺 | Statement: [Temple 75: Zentsūji, hasJapaneseName, 善通寺]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 善通寺 Context triple: [Temple 75: Zentsūji, hasJapaneseName, 善通寺]
-
A.
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。
-
B.
仁和寺
仁和寺(Ninna-ji) is a historic Buddhist temple in Kyoto, Japan, renowned as a former imperial monastery and a UNESCO World Heritage Site noted for its classical architecture and gardens.
-
C.
八坂寺
八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
-
D.
白峯寺
白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
-
E.
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.
- 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: 善通寺 Triple: [Temple 75: Zentsūji, hasJapaneseName, 善通寺]
Generated description
善通寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, renowned as the birthplace and one of the principal pilgrimage sites associated with the monk Kūkai (Kōbō Daishi).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 善通寺 Target entity description: 善通寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, renowned as the birthplace and one of the principal pilgrimage sites associated with the monk Kūkai (Kōbō Daishi).
-
A.
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。
-
B.
仁和寺
仁和寺(Ninna-ji) is a historic Buddhist temple in Kyoto, Japan, renowned as a former imperial monastery and a UNESCO World Heritage Site noted for its classical architecture and gardens.
-
C.
八坂寺
八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
-
D.
白峯寺
白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
-
E.
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.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c672248190a4261be4696d52c5 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b5f3a8819083128cf2b90cfd84 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a001978fed48190963b327da30c31f0 |
completed | May 10, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a0def548190a1d800f858f3cb02 |
completed | May 10, 2026, 5:39 a.m. |
Created at: April 10, 2026, 5:05 a.m.