Bunkyō City

E366668

special ward of Tokyo

Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.

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All labels observed (2)

Label	Occurrences
Bunkyō City canonical	3
Bunkyo City	2

Statements (49)

Predicate	Object
instanceOf	special ward of Tokyo ⓘ
borderedBy	Arakawa NERFINISHED ⓘ Chiyoda NERFINISHED ⓘ Kita ⓘ Shinjuku ⓘ Taitō ⓘ Toshima NERFINISHED ⓘ
contains	Bunkyo Civic Center ⓘ Hakusan district ⓘ Hongo district ⓘ Kodansha headquarters ⓘ Koishikawa Kōrakuen Garden ⓘ Koishikawa district NERFINISHED ⓘ Kodokan judo ⓘ surface form: Kōdōkan Judo Institute Nezu Shrine NERFINISHED ⓘ Nezu district NERFINISHED ⓘ Rikugien Garden ⓘ Sendagi district NERFINISHED ⓘ Tokyo Dome ⓘ Yushima Tenmangū NERFINISHED ⓘ Yushima district NERFINISHED ⓘ
continent	Asia ⓘ
country	Japan ⓘ
governmentType	special ward government ⓘ
hasCampusOf	Chuo University NERFINISHED ⓘ Juntendo University ⓘ Ochanomizu University NERFINISHED ⓘ Tokyo Medical and Dental University ⓘ Toyko University of Science ⓘ
hasCharacteristic	educational center ⓘ largely residential ⓘ relatively few skyscrapers ⓘ
hasJapaneseName	文京区 ⓘ
hasPostalCodePrefix	112 ⓘ 113 ⓘ
hasUniversity	University of Tokyo NERFINISHED ⓘ
isPartOf	Tokyo 23 wards ⓘ surface form: Tokyo 23 special wards
knownFor	historic temples ⓘ quiet residential neighborhoods ⓘ universities ⓘ
languageUsed	Japanese ⓘ
leaderTitle	Mayor ⓘ
locatedIn	Honshu ⓘ Kantō region ⓘ Tokyo ⓘ
partOf	Tokyo Prefecture ⓘ surface form: Tokyo Metropolis
romanization	Bunkyō-ku NERFINISHED ⓘ
timeZone	Japan Standard Time ⓘ
UTCOffset	+9 ⓘ

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: Bunkyō City
Description of subject: Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.

Referenced by (5)

Full triples — surface form annotated when it differs from this entity's canonical label.

Bunkyō, Tokyo, Japan → officialName → Bunkyō City ⓘ

subject surface form: Bunkyō

Yayoi Campus → municipality → Bunkyō City ⓘ

this entity surface form: Bunkyo City

文京区 → hasEnglishName → Bunkyō City ⓘ

Sendagi neighborhood → administrativeDivision → Bunkyō City ⓘ

subject surface form: Sendagi

Bunkyo Civic Center → ownedBy → Bunkyō City ⓘ

this entity surface form: Bunkyo City