Triple
T12049034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 千駄ヶ谷 |
E286864
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
鳩森八幡神社
鳩森八幡神社 is a historic Shinto shrine in Tokyo’s Sendagaya area, known for its ancient origins, Hachiman worship, and a rare Fujizuka (miniature Mt. Fuji) mound that visitors can climb.
|
E960853
|
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: 鳩森八幡神社 | Statement: [千駄ヶ谷, hasFacility, 鳩森八幡神社]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 鳩森八幡神社 Context triple: [千駄ヶ谷, hasFacility, 鳩森八幡神社]
-
A.
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.
-
B.
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.
-
C.
東郷神社
東郷神社 is a Shinto shrine in Tokyo dedicated to Admiral Tōgō Heihachirō, commemorating his naval victories and legacy in modern Japanese history.
-
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.
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。
- 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: 鳩森八幡神社 Triple: [千駄ヶ谷, hasFacility, 鳩森八幡神社]
Generated description
鳩森八幡神社 is a historic Shinto shrine in Tokyo’s Sendagaya area, known for its ancient origins, Hachiman worship, and a rare Fujizuka (miniature Mt. Fuji) mound that visitors can climb.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 鳩森八幡神社 Target entity description: 鳩森八幡神社 is a historic Shinto shrine in Tokyo’s Sendagaya area, known for its ancient origins, Hachiman worship, and a rare Fujizuka (miniature Mt. Fuji) mound that visitors can climb.
-
A.
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.
-
B.
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.
-
C.
東郷神社
東郷神社 is a Shinto shrine in Tokyo dedicated to Admiral Tōgō Heihachirō, commemorating his naval victories and legacy in modern Japanese history.
-
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.
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。
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904227958819084dbd5eb2566c735 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dc459308190bc88cb550e1d5b86 |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d95d4fc8190b5f4e460646bec2a |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56505c0b481909f9caaf338f73033 |
completed | May 2, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:47 p.m.