Triple
T11934304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 文京区 |
E283998
|
entity |
| Predicate | hasMajorShrineOrTemple |
P48433
|
FINISHED |
| Object |
根津神社
根津神社 is a historic Shinto shrine in Tokyo renowned for its ancient origins, traditional architecture, and striking rows of vermilion torii gates.
|
E702864
|
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: 根津神社 | Statement: [文京区, hasMajorShrineOrTemple, 根津神社]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 根津神社 Context triple: [文京区, hasMajorShrineOrTemple, 根津神社]
-
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.
日枝神社
日枝神社 is a prominent Shinto shrine in Tokyo, Japan, revered as the guardian shrine of the city and known for its Sanno Matsuri festival.
-
C.
稲荷神社
稲荷神社 is a type of Shinto shrine in Japan dedicated to the deity Inari, commonly associated with rice, prosperity, and fox spirits, and often marked by rows of vermilion torii gates.
-
D.
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。
-
E.
Kitano Tenmangu Shrine
Kitano Tenmangu Shrine is a major Shinto shrine in Kyoto dedicated to Sugawara no Michizane, revered as the deity of scholarship and learning.
- 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: 根津神社 Triple: [文京区, hasMajorShrineOrTemple, 根津神社]
Generated description
根津神社 is a historic Shinto shrine in Tokyo renowned for its ancient origins, traditional architecture, and striking rows of vermilion torii gates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 根津神社 Target entity description: 根津神社 is a historic Shinto shrine in Tokyo renowned for its ancient origins, traditional architecture, and striking rows of vermilion torii gates.
-
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.
日枝神社
日枝神社 is a prominent Shinto shrine in Tokyo, Japan, revered as the guardian shrine of the city and known for its Sanno Matsuri festival.
-
C.
稲荷神社
chosen
稲荷神社 is a type of Shinto shrine in Japan dedicated to the deity Inari, commonly associated with rice, prosperity, and fox spirits, and often marked by rows of vermilion torii gates.
-
D.
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。
-
E.
Kitano Tenmangu Shrine
Kitano Tenmangu Shrine is a major Shinto shrine in Kyoto dedicated to Sugawara no Michizane, revered as the deity of scholarship and learning.
- F. None of above.
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.