Triple
T11934296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 文京区 |
E283998
|
entity |
| Predicate | hasCulturalFacility |
P2412
|
FINISHED |
| Object |
講道館
講道館は、嘉納治五郎が創設した日本の柔道の総本山として知られる道場・教育機関です。
|
E954809
|
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: 講道館 | Statement: [文京区, hasCulturalFacility, 講道館]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 講道館 Context triple: [文京区, hasCulturalFacility, 講道館]
-
A.
Yushima Seidō
Yushima Seidō is a historic Confucian temple and former educational center in Tokyo, Japan, known as a key site for Confucian learning during the Edo period.
-
B.
Jōgyō-dō
Jōgyō-dō is a significant hall within Enryaku-ji on Mount Hiei, associated with traditional Tendai Buddhist devotional practices and monastic training.
-
C.
Shinnyo-en
Shinnyo-en is a Japanese Buddhist new religious movement known for its lay-centered practice, focus on meditation and spiritual training, and emphasis on universal enlightenment and peace.
-
D.
Sanjūsangen-dō
Sanjūsangen-dō is a historic Buddhist temple hall in Kyoto, Japan, renowned for its 1,001 statues of Kannon and its exceptionally long wooden structure.
-
E.
Shōka Sonjuku academy
Shōka Sonjuku academy was a small but highly influential private school in late Edo-period Japan, led by Yoshida Shōin and known for educating many key figures who later drove the Meiji Restoration.
- 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: 講道館 Triple: [文京区, hasCulturalFacility, 講道館]
Generated description
講道館は、嘉納治五郎が創設した日本の柔道の総本山として知られる道場・教育機関です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 講道館 Target entity description: 講道館は、嘉納治五郎が創設した日本の柔道の総本山として知られる道場・教育機関です。
-
A.
Yushima Seidō
Yushima Seidō is a historic Confucian temple and former educational center in Tokyo, Japan, known as a key site for Confucian learning during the Edo period.
-
B.
Jōgyō-dō
Jōgyō-dō is a significant hall within Enryaku-ji on Mount Hiei, associated with traditional Tendai Buddhist devotional practices and monastic training.
-
C.
Shinnyo-en
Shinnyo-en is a Japanese Buddhist new religious movement known for its lay-centered practice, focus on meditation and spiritual training, and emphasis on universal enlightenment and peace.
-
D.
Sanjūsangen-dō
Sanjūsangen-dō is a historic Buddhist temple hall in Kyoto, Japan, renowned for its 1,001 statues of Kannon and its exceptionally long wooden structure.
-
E.
Shōka Sonjuku academy
Shōka Sonjuku academy was a small but highly influential private school in late Edo-period Japan, led by Yoshida Shōin and known for educating many key figures who later drove the Meiji Restoration.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4407cc2388190b0f849fbeed89ab7 |
completed | May 1, 2026, 5:56 a.m. |
| NEDg | Description generation | batch_69f448fc874081908fe05f9d8aff11a3 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44afdc7b08190bdf47cfcb94c34c8 |
completed | May 1, 2026, 6:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.