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.