Sumida ward
E689412
Sumida ward is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its mix of traditional neighborhoods and modern urban development.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Sumida Ward | 20 |
| Sumida ward canonical | 11 |
| Sumida-ku | 4 |
| Sumida Ward Assembly | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7437971 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Sumida ward Context triple: [Oshiage Station (Toei Asakusa Line), servesArea, Sumida ward]
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A.
Meguro Ward
Meguro Ward is a residential and commercial district in southwest Tokyo known for its urban neighborhoods, cultural sites, and convenient rail access to central Tokyo.
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B.
Taisho Ward
Taisho Ward is one of Osaka City's 24 wards, known as a coastal industrial and residential area with strong ties to the port and a notable Okinawan community.
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C.
Higashi Ward
Higashi Ward is one of the municipal wards of Kumamoto City in Japan, functioning as a local administrative and residential district within the urban area.
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D.
Itabashi
Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
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E.
Shinagawa
Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Sumida ward Target entity description: Sumida ward is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its mix of traditional neighborhoods and modern urban development.
-
A.
Meguro Ward
Meguro Ward is a residential and commercial district in southwest Tokyo known for its urban neighborhoods, cultural sites, and convenient rail access to central Tokyo.
-
B.
Taisho Ward
Taisho Ward is one of Osaka City's 24 wards, known as a coastal industrial and residential area with strong ties to the port and a notable Okinawan community.
-
C.
Higashi Ward
Higashi Ward is one of the municipal wards of Kumamoto City in Japan, functioning as a local administrative and residential district within the urban area.
-
D.
Itabashi
Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
-
E.
Shinagawa
Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
- F. None of above. chosen
Statements (51)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Sumida ward Description of subject: Sumida ward is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its mix of traditional neighborhoods and modern urban development.
Referenced by (36)
Full triples — surface form annotated when it differs from this entity's canonical label.