Triple
T9191346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黒川紀章 |
E220593
|
entity |
| Predicate | 国立新美術館の所在地 |
P37091
|
FINISHED |
| Object |
東京都港区六本木
東京都港区六本木は、東京を代表する高級商業・歓楽街であり、国立新美術館や六本木ヒルズなどの文化・ビジネス拠点が集積するエリアである。
|
E627707
|
NE FINISHED |
How this triple was built (5 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: 東京都港区六本木 | Statement: [黒川紀章, 国立新美術館の所在地, 東京都港区六本木]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 東京都港区六本木 Context triple: [黒川紀章, 国立新美術館の所在地, 東京都港区六本木]
-
A.
東京都港区
東京都港区は、東京湾に面し大使館や企業本社、高級住宅地が集まる東京都心の行政区の一つです。
-
B.
Shibuya, Tokyo, Japan
Shibuya, Tokyo, Japan is a major commercial and entertainment district of Tokyo known for its busy scramble crossing, youth culture, and fashion scene.
-
C.
Shinagawa, Tokyo, Japan
Shinagawa is a major commercial and transportation hub in southern Tokyo, known for its busy railway station, high-rise office buildings, and waterfront developments along Tokyo Bay.
-
D.
Shinjuku, Tokyo, Japan
Shinjuku, Tokyo, Japan is a major commercial and administrative center of Tokyo known for its busy railway station, skyscraper district, and vibrant nightlife areas like Kabukicho.
-
E.
Bunkyō, Tokyo, Japan
Bunkyō, Tokyo, Japan is a central Tokyo ward known for its educational and cultural institutions, historic temples, and residential neighborhoods, including the main campus of the University of Tokyo.
- 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: 東京都港区六本木 Triple: [黒川紀章, 国立新美術館の所在地, 東京都港区六本木]
Generated description
東京都港区六本木は、東京を代表する高級商業・歓楽街であり、国立新美術館や六本木ヒルズなどの文化・ビジネス拠点が集積するエリアである。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 東京都港区六本木 Target entity description: 東京都港区六本木は、東京を代表する高級商業・歓楽街であり、国立新美術館や六本木ヒルズなどの文化・ビジネス拠点が集積するエリアである。
-
A.
東京都港区
chosen
東京都港区は、東京湾に面し大使館や企業本社、高級住宅地が集まる東京都心の行政区の一つです。
-
B.
Shibuya, Tokyo, Japan
Shibuya, Tokyo, Japan is a major commercial and entertainment district of Tokyo known for its busy scramble crossing, youth culture, and fashion scene.
-
C.
Shinagawa, Tokyo, Japan
Shinagawa is a major commercial and transportation hub in southern Tokyo, known for its busy railway station, high-rise office buildings, and waterfront developments along Tokyo Bay.
-
D.
Shinjuku, Tokyo, Japan
Shinjuku, Tokyo, Japan is a major commercial and administrative center of Tokyo known for its busy railway station, skyscraper district, and vibrant nightlife areas like Kabukicho.
-
E.
Bunkyō, Tokyo, Japan
Bunkyō, Tokyo, Japan is a central Tokyo ward known for its educational and cultural institutions, historic temples, and residential neighborhoods, including the main campus of the University of Tokyo.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国立新美術館の所在地 Context triple: [黒川紀章, 国立新美術館の所在地, 東京都港区六本木]
-
A.
famousArtworkLocatedIn
Indicates that a specific famous artwork is physically situated or displayed within a particular location or venue.
-
B.
isMostVisitedArtMuseumIn
Indicates that an art museum holds the highest number of visitors compared to all other art museums within a specified location or region.
-
C.
hasMuseumAt
chosen
Indicates that a museum is located at or exists in a specified place or location.
-
D.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
-
E.
nationalMuseum
Indicates that an entity functions as a primary, officially recognized museum representing a nation at the national level.
- F. None of above.
Provenance (6 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c077b4819086c74e91ee4bd75e |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c272f508190aade1769c88cf16d |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05cda59f88190bcde5a91aec2f9dd |
completed | April 4, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05ddd28008190b82c42220871e73f |
completed | April 4, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.