Takadanobaba, Shinjuku-ku, Tokyo, Japan
E915456
Takadanobaba, Shinjuku-ku, Tokyo, Japan is a lively student and entertainment district in Tokyo known for its universities, language schools, and convenient rail connections.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Takadanobaba, Shinjuku-ku, Tokyo, Japan canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11285413 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takadanobaba, Shinjuku-ku, Tokyo, Japan Context triple: [Takadanobaba Station, address, Takadanobaba, Shinjuku-ku, Tokyo, Japan]
-
A.
Nakano, Tokyo, Japan
Nakano, Tokyo, Japan is a special ward known for its dense residential neighborhoods, vibrant subculture and anime shopping district around Nakano Broadway, and convenient access to central Tokyo.
-
B.
Chiyoda, Tokyo, Japan
Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative heart, housing the Imperial Palace, the National Diet, and many government institutions.
-
C.
Nagatachō, Tokyo, Japan
Nagatachō, Tokyo, Japan is the political center of the country, housing key national government institutions such as the National Diet and the Prime Minister’s official offices.
-
D.
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.
-
E.
Suginami, Tokyo, Japan
Suginami is a residential ward in western Tokyo known for its quiet neighborhoods, anime studios, and numerous shrines and parks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takadanobaba, Shinjuku-ku, Tokyo, Japan Target entity description: Takadanobaba, Shinjuku-ku, Tokyo, Japan is a lively student and entertainment district in Tokyo known for its universities, language schools, and convenient rail connections.
-
A.
Nakano, Tokyo, Japan
Nakano, Tokyo, Japan is a special ward known for its dense residential neighborhoods, vibrant subculture and anime shopping district around Nakano Broadway, and convenient access to central Tokyo.
-
B.
Chiyoda, Tokyo, Japan
Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative heart, housing the Imperial Palace, the National Diet, and many government institutions.
-
C.
Nagatachō, Tokyo, Japan
Nagatachō, Tokyo, Japan is the political center of the country, housing key national government institutions such as the National Diet and the Prime Minister’s official offices.
-
D.
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.
-
E.
Suginami, Tokyo, Japan
Suginami is a residential ward in western Tokyo known for its quiet neighborhoods, anime studios, and numerous shrines and parks.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
district
ⓘ
neighborhood ⓘ student district ⓘ |
| adjacentTo |
Mejiro
ⓘ
linked to:
Toshima
Nishi-Waseda ⓘ Shimo-Ochiai ⓘ Toyama, Shinjuku ⓘ |
| country | Japan ⓘ |
| governedBy |
Shinjuku City Office
ⓘ
linked to:
Shinjuku Ward Office
|
| hasCulturalAssociation |
Astro Boy (Tetsuwan Atomu)
ⓘ
linked to:
Astro Boy by Osamu Tezuka
|
| hasDemographic |
large population of students
ⓘ
significant number of international residents ⓘ |
| hasFeature |
Astro Boy-themed melodies at Takadanobaba Station
ⓘ
bars and izakaya ⓘ busy commuter traffic ⓘ game centers and arcades ⓘ high concentration of cram schools ⓘ karaoke venues ⓘ many inexpensive restaurants ⓘ multi-story commercial buildings ⓘ numerous convenience stores ⓘ student-oriented housing ⓘ |
| hasNearbyInstitution | numerous Japanese language schools ⓘ |
| hasNearbyUniversity |
Gakushuin University
ⓘ
Gakushuin Women’s College ⓘ Waseda University ⓘ |
| hasPostalCode |
169-0071
ⓘ
169-0072 ⓘ 169-0073 ⓘ 169-0074 ⓘ 169-0075 ⓘ |
| hasRailStation | Takadanobaba Station NERFINISHED ⓘ |
| knownFor |
convenient rail connections
ⓘ
entertainment venues ⓘ language schools ⓘ student population ⓘ universities ⓘ |
| language | Japanese ⓘ |
| locatedIn |
Shinjuku-ku
ⓘ
Tokyo ⓘ Tokyo Metropolis ⓘ
linked to:
Tokyo Metropolis, Japan
|
| partOf |
Shinjuku ward
ⓘ
linked to:
Shinjuku-ku
Tokyo urban area ⓘ
linked to:
Tokyo metropolitan area
|
| region |
Kanto region
ⓘ
linked to:
Kantō region
|
| servedByLine |
JR Yamanote Line
ⓘ
Seibu Shinjuku Line NERFINISHED ⓘ Tokyo Metro Tozai Line 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: Takadanobaba, Shinjuku-ku, Tokyo, Japan Description of subject: Takadanobaba, Shinjuku-ku, Tokyo, Japan is a lively student and entertainment district in Tokyo known for its universities, language schools, and convenient rail connections.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.