Kōtō, Tokyo
E1009385
Kōtō, Tokyo is a special ward in eastern Tokyo known for its extensive waterfront areas, canals, and a mix of residential, commercial, and industrial districts.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kōtō, Tokyo canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10567489 — 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: Kōtō, Tokyo Context triple: [Arakawa River, passesThrough, Kōtō, Tokyo]
-
A.
Toshima, Tokyo
Toshima, Tokyo is a special ward in northwestern Tokyo known for its major commercial and entertainment hub Ikebukuro and its mix of residential, educational, and cultural institutions.
-
B.
Katsushika, Tokyo
Katsushika, Tokyo is a northeastern special ward of Tokyo known for its traditional shitamachi atmosphere, residential neighborhoods, and riverside areas along the Edogawa and Arakawa.
-
C.
Itabashi, Tokyo
Itabashi, Tokyo is one of Tokyo's 23 special wards, located in the northwestern part of the metropolis and known as a primarily residential and commercial area.
-
D.
Nakano, Tokyo
Nakano, Tokyo is a special ward in western Tokyo known for its dense residential neighborhoods, vibrant shopping streets, and pop culture hub around Nakano Broadway.
-
E.
Suginami, Tokyo
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.
- 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: Kōtō, Tokyo Target entity description: Kōtō, Tokyo is a special ward in eastern Tokyo known for its extensive waterfront areas, canals, and a mix of residential, commercial, and industrial districts.
-
A.
Toshima, Tokyo
Toshima, Tokyo is a special ward in northwestern Tokyo known for its major commercial and entertainment hub Ikebukuro and its mix of residential, educational, and cultural institutions.
-
B.
Katsushika, Tokyo
Katsushika, Tokyo is a northeastern special ward of Tokyo known for its traditional shitamachi atmosphere, residential neighborhoods, and riverside areas along the Edogawa and Arakawa.
-
C.
Itabashi, Tokyo
Itabashi, Tokyo is one of Tokyo's 23 special wards, located in the northwestern part of the metropolis and known as a primarily residential and commercial area.
-
D.
Nakano, Tokyo
Nakano, Tokyo is a special ward in western Tokyo known for its dense residential neighborhoods, vibrant shopping streets, and pop culture hub around Nakano Broadway.
-
E.
Suginami, Tokyo
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.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
municipality
ⓘ
special ward of Tokyo ⓘ |
| adjacentToWaterBody | Tokyo Bay NERFINISHED ⓘ |
| borders |
Chūō, Tokyo
NERFINISHED
ⓘ
Edogawa, Tokyo NERFINISHED ⓘ Minato, Tokyo NERFINISHED ⓘ Sumida, Tokyo NERFINISHED ⓘ Tokyo Bay NERFINISHED ⓘ |
| contains |
Ariake, Kōtō
NERFINISHED
ⓘ
Kameido, Kōtō NERFINISHED ⓘ Kiba, Kōtō NERFINISHED ⓘ Monzen-nakachō NERFINISHED ⓘ Odaiba (part) NERFINISHED ⓘ Shinonome, Kōtō NERFINISHED ⓘ Sunamachi NERFINISHED ⓘ Tatsumi, Kōtō NERFINISHED ⓘ Toyosu, Kōtō NERFINISHED ⓘ |
| country | Japan ⓘ |
| dateOfEstablishment | 1947-03-15 ⓘ |
| formedByMergerOf |
Fukagawa ward
NERFINISHED
ⓘ
Jōtō ward NERFINISHED ⓘ |
| hasAttraction |
Ariake Tennis Forest Park
NERFINISHED
ⓘ
Fukagawa Edo Museum NERFINISHED ⓘ Kiba Park NERFINISHED ⓘ Museum of Contemporary Art Tokyo NERFINISHED ⓘ Tokyo Big Sight NERFINISHED ⓘ Tomioka Hachiman Shrine NERFINISHED ⓘ |
| hasCharacteristic |
canals
ⓘ
commercial district ⓘ industrial district ⓘ residential district ⓘ waterfront area ⓘ |
| hasLandUse |
high-rise residential complexes
ⓘ
logistics facilities ⓘ reclaimed land ⓘ waterfront parks ⓘ |
| hasTransport |
JR Keiyō Line
NERFINISHED
ⓘ
JR Sōbu Line NERFINISHED ⓘ Rinkai Line NERFINISHED ⓘ Toei Shinjuku Line NERFINISHED ⓘ Tokyo Metro Tōzai Line NERFINISHED ⓘ Tokyo Metro Yūrakuchō Line NERFINISHED ⓘ |
| hasWardOffice | Kōtō City Office NERFINISHED ⓘ |
| locatedIn | eastern Tokyo NERFINISHED ⓘ |
| locatedInTimeZone | Japan Standard Time ⓘ |
| nativeName | 江東区 NERFINISHED ⓘ |
| nativeNameLanguage | ja ⓘ |
| officialName | Kōtō City NERFINISHED ⓘ |
| partOf |
Kantō region
NERFINISHED
ⓘ
Tokyo Metropolis NERFINISHED ⓘ |
| traversedBy |
Arakawa River
NERFINISHED
ⓘ
Sumida River NERFINISHED ⓘ |
| 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: Kōtō, Tokyo Description of subject: Kōtō, Tokyo is a special ward in eastern Tokyo known for its extensive waterfront areas, canals, and a mix of residential, commercial, and industrial districts.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.