Triple
T14930807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 47: Yasakaji |
E372257
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
八坂寺
八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
|
E1127697
|
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: 八坂寺 | Statement: [Temple 47: Yasakaji, hasJapaneseName, 八坂寺]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 八坂寺 Context triple: [Temple 47: Yasakaji, hasJapaneseName, 八坂寺]
-
A.
八坂神社
八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
-
B.
白山神社
白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
-
C.
愛宕神社
愛宕神社 is a historic Shinto shrine in Tokyo renowned for its hilltop location on Mount Atago and its steep stone staircase, attracting visitors for both worship and scenic city views.
-
D.
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。
-
E.
意賀美神社
意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
- 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: 八坂寺 Triple: [Temple 47: Yasakaji, hasJapaneseName, 八坂寺]
Generated description
八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 八坂寺 Target entity description: 八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
-
A.
八坂神社
八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
-
B.
白山神社
白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
-
C.
愛宕神社
愛宕神社 is a historic Shinto shrine in Tokyo renowned for its hilltop location on Mount Atago and its steep stone staircase, attracting visitors for both worship and scenic city views.
-
D.
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。
-
E.
意賀美神社
意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c728948190a1cfc62f4038b6ec |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe771e361481908b58eb38f804f650 |
completed | May 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe77fef3d88190afbd7839c4625226 |
completed | May 8, 2026, 11:55 p.m. |
Created at: April 10, 2026, 2:36 a.m.