Suginami, Tokyo
E823059
Suginami, Tokyo is a residential ward in western Tokyo known for its concentration of anime studios, local shopping streets, and quieter suburban character compared to central Tokyo.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Suginami, Tokyo canonical | 2 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
municipality
ⓘ
special ward of Tokyo ⓘ |
| borderedBy |
Mitaka, Tokyo
NERFINISHED
ⓘ
Musashino, Tokyo NERFINISHED ⓘ Nakano, Tokyo NERFINISHED ⓘ Nerima, Tokyo NERFINISHED ⓘ Setagaya, Tokyo NERFINISHED ⓘ |
| capital | Suginami City Office NERFINISHED ⓘ |
| country | Japan ⓘ |
| governmentType | special ward government ⓘ |
| hasCulturalFeature |
Asagaya Tanabata Festival
NERFINISHED
ⓘ
Koenji Awa Odori festival NERFINISHED ⓘ anime-related businesses ⓘ |
| hasDistrict |
Asagaya
NERFINISHED
ⓘ
Eifukucho NERFINISHED ⓘ Horinouchi NERFINISHED ⓘ Koenji NERFINISHED ⓘ Nishi-Ogikubo NERFINISHED ⓘ Ogikubo NERFINISHED ⓘ |
| hasFacility | Suginami Animation Museum NERFINISHED ⓘ |
| hasRailLine |
Chūō Main Line
NERFINISHED
ⓘ
Keio Inokashira Line NERFINISHED ⓘ Tokyo Metro Marunouchi Line NERFINISHED ⓘ |
| hasRailStation |
Asagaya Station
NERFINISHED
ⓘ
Eifukucho Station NERFINISHED ⓘ Hamadayama Station NERFINISHED ⓘ Higashi-Koenji Station NERFINISHED ⓘ Honancho Station NERFINISHED ⓘ Koenji Station NERFINISHED ⓘ Minami-Asagaya Station NERFINISHED ⓘ Nishi-Eifuku Station NERFINISHED ⓘ Nishi-Ogikubo Station NERFINISHED ⓘ Ogikubo Station NERFINISHED ⓘ Shin-Koenji Station NERFINISHED ⓘ Takaido Station NERFINISHED ⓘ |
| hasShoppingArea |
Asagaya Pearl Center shopping arcade
NERFINISHED
ⓘ
Koenji shopping streets NERFINISHED ⓘ Ogikubo shopping streets NERFINISHED ⓘ |
| knownFor |
concentration of anime studios
ⓘ
local shopping streets ⓘ quieter suburban character compared to central Tokyo ⓘ residential neighborhoods ⓘ |
| leaderTitle | Mayor ⓘ |
| locatedIn |
Honshu
ⓘ
Kantō region ⓘ western Tokyo ⓘ |
| partOf | Tokyo Metropolis NERFINISHED ⓘ |
| timezone | Japan Standard Time ⓘ |
| utcOffset | +09:00 ⓘ |
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.
Instruction
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.
Input
Subject: Suginami, Tokyo Description of subject: Suginami, Tokyo is a residential ward in western Tokyo known for its concentration of anime studios, local shopping streets, and quieter suburban character compared to central Tokyo.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.