Triple
T22533375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東京都港区 |
E557098
|
entity |
| Predicate | containsLandmark |
P1098
|
FINISHED |
| Object |
根津美術館
根津美術館は、実業家・根津嘉一郎のコレクションを基盤とした日本・東アジア美術を中心に展示する美術館で、四季折々の景観が楽しめる広大な日本庭園でも知られている。
|
E1541858
|
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: 根津美術館 | Statement: [東京都港区, containsLandmark, 根津美術館]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 根津美術館 Context triple: [東京都港区, containsLandmark, 根津美術館]
-
A.
弥生美術館
弥生美術館 is a Tokyo museum renowned for its exhibitions on modern Japanese illustration, girls’ culture, and the works of artists such as Takabatake Kashō and Yumeji Takehisa.
-
B.
静嘉堂文庫美術館
静嘉堂文庫美術館 is a Tokyo art museum renowned for its collection of Japanese and East Asian classics, including important cultural properties and national treasures such as calligraphy, paintings, and ceramics.
-
C.
森美術館
森美術館 is a contemporary art museum located in Tokyo that showcases cutting-edge international and Japanese art exhibitions.
-
D.
五島美術館
五島美術館は、東京・世田谷区に位置し、東洋古美術や日本の書画・茶道具などの名品を所蔵・展示する美術館です。
-
E.
奈義町現代美術館
奈義町現代美術館は、建築家・磯崎新が設計した、岡山県奈義町の自然環境と調和したコンセプチュアルな現代美術館です。
- 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: 根津美術館 Triple: [東京都港区, containsLandmark, 根津美術館]
Generated description
根津美術館は、実業家・根津嘉一郎のコレクションを基盤とした日本・東アジア美術を中心に展示する美術館で、四季折々の景観が楽しめる広大な日本庭園でも知られている。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 根津美術館 Target entity description: 根津美術館は、実業家・根津嘉一郎のコレクションを基盤とした日本・東アジア美術を中心に展示する美術館で、四季折々の景観が楽しめる広大な日本庭園でも知られている。
-
A.
弥生美術館
弥生美術館 is a Tokyo museum renowned for its exhibitions on modern Japanese illustration, girls’ culture, and the works of artists such as Takabatake Kashō and Yumeji Takehisa.
-
B.
静嘉堂文庫美術館
静嘉堂文庫美術館 is a Tokyo art museum renowned for its collection of Japanese and East Asian classics, including important cultural properties and national treasures such as calligraphy, paintings, and ceramics.
-
C.
森美術館
森美術館 is a contemporary art museum located in Tokyo that showcases cutting-edge international and Japanese art exhibitions.
-
D.
五島美術館
五島美術館は、東京・世田谷区に位置し、東洋古美術や日本の書画・茶道具などの名品を所蔵・展示する美術館です。
-
E.
奈義町現代美術館
奈義町現代美術館は、建築家・磯崎新が設計した、岡山県奈義町の自然環境と調和したコンセプチュアルな現代美術館です。
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed88cf08190ae7e5b6bf9a80372 |
completed | April 29, 2026, 1:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1ddee4f48190972567034fa0c9d7 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1f09934c81909c0d81a7838f5580 |
completed | May 18, 2026, 2:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b258107088190ba81cb2d0a34209b |
completed | May 18, 2026, 2:43 p.m. |
Created at: April 16, 2026, 8:51 p.m.