Tama-ku
E442693
Tama-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known for its residential areas and proximity to Tokyo.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tama-ku canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2786809 — 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: Tama-ku Context triple: [Kawasaki, hasWard, Tama-ku]
-
A.
Toshima
Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
-
B.
Naniwa-ku
Naniwa-ku is a central ward of Osaka, Japan, known for its bustling entertainment districts, shopping streets, and iconic landmarks such as Tsutenkaku Tower.
-
C.
Taihaku-ku
Taihaku-ku is a ward in the city of Sendai, Japan, known for its mix of residential areas, natural scenery, and hot spring resorts.
-
D.
Nakahara-ku
Nakahara-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
-
E.
Minami-ku
Minami-ku is one of the wards of Fukuoka City in Japan, known as a primarily residential area with local commercial centers and public facilities.
- 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: Tama-ku Target entity description: Tama-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known for its residential areas and proximity to Tokyo.
-
A.
Toshima
Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
-
B.
Naniwa-ku
Naniwa-ku is a central ward of Osaka, Japan, known for its bustling entertainment districts, shopping streets, and iconic landmarks such as Tsutenkaku Tower.
-
C.
Taihaku-ku
Taihaku-ku is a ward in the city of Sendai, Japan, known for its mix of residential areas, natural scenery, and hot spring resorts.
-
D.
Nakahara-ku
Nakahara-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
-
E.
Minami-ku
Minami-ku is one of the wards of Fukuoka City in Japan, known as a primarily residential area with local commercial centers and public facilities.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
administrative ward
ⓘ
ward of Japan ⓘ |
| administrativeBody | Tama Ward Office NERFINISHED ⓘ |
| borderedByRiver | Tama River NERFINISHED ⓘ |
| climateClassification | humid subtropical climate ⓘ |
| country | Japan ⓘ |
| governingCity | Kawasaki City NERFINISHED ⓘ |
| hasAttraction |
Fujiko F Fujio Museum
NERFINISHED
ⓘ
Ikuta Ryokuchi Park NERFINISHED ⓘ Japan Open-Air Folk House Museum NERFINISHED ⓘ Taro Okamoto Museum of Art NERFINISHED ⓘ Yomiuriland (nearby major amusement park) NERFINISHED ⓘ |
| hasEducationalInstitutionType |
elementary schools
ⓘ
high schools ⓘ junior high schools ⓘ |
| hasPostalCodePrefix | 214 ⓘ |
| hasPublicTransportMode |
bus
ⓘ
rail ⓘ |
| hasRailwayLine |
JR Nambu Line
NERFINISHED
ⓘ
Keio Sagamihara Line NERFINISHED ⓘ Odakyu Odawara Line NERFINISHED ⓘ |
| hasRailwayStation |
Ikuta Station
NERFINISHED
ⓘ
Inadazutsumi Station NERFINISHED ⓘ Mukogaoka-Yuen Station NERFINISHED ⓘ Noborito Station NERFINISHED ⓘ Yomiuriland-mae Station NERFINISHED ⓘ |
| hasResidentialCharacter | true ⓘ |
| hasRoad |
National Route 246
NERFINISHED
ⓘ
prefectural roads of Kanagawa Prefecture ⓘ |
| hasUniversity |
Japan Women’s University Nishi-Ikuta Campus
NERFINISHED
ⓘ
Meiji University Ikuta Campus NERFINISHED ⓘ Senshu University Ikuta Campus NERFINISHED ⓘ |
| isBedroomCommunityFor |
Kawasaki City center
ⓘ
Tokyo NERFINISHED ⓘ |
| isSuburbanAreaOf |
Kawasaki
NERFINISHED
ⓘ
Tokyo NERFINISHED ⓘ |
| language | Japanese ⓘ |
| locatedIn |
Greater Tokyo Area
NERFINISHED
ⓘ
Honshu ⓘ Kantō region ⓘ |
| neighboringMunicipality | Tokyo Metropolis NERFINISHED ⓘ |
| partOf |
Kanagawa Prefecture
NERFINISHED
ⓘ
Kawasaki City NERFINISHED ⓘ |
| prefecturalCapitalDistance | Kanagawa Prefectural Government in Yokohama (commuting distance) ⓘ |
| primaryLandUse | residential ⓘ |
| timeZone | Japan Standard Time ⓘ |
| utcOffset | +9 ⓘ |
| writingSystem | Japanese writing system ⓘ |
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: Tama-ku Description of subject: Tama-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known for its residential areas and proximity to Tokyo.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.