Dogenzaka
E28884
Dogenzaka is a lively entertainment and shopping district in Shibuya, Tokyo, known for its nightlife, restaurants, and proximity to the famous Shibuya Crossing.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dogenzaka canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T186203 — 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: Dogenzaka Context triple: [Shibuya, Tokyo, Japan, contains, Dogenzaka]
-
A.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
B.
Kitano-cho
Kitano-cho is a historic district in Kobe, Japan, known for its preserved Western-style residences built by foreign merchants in the late 19th and early 20th centuries.
-
C.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
-
E.
Matsubara
Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
- 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: Dogenzaka Target entity description: Dogenzaka is a lively entertainment and shopping district in Shibuya, Tokyo, known for its nightlife, restaurants, and proximity to the famous Shibuya Crossing.
-
A.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
B.
Kitano-cho
Kitano-cho is a historic district in Kobe, Japan, known for its preserved Western-style residences built by foreign merchants in the late 19th and early 20th centuries.
-
C.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
-
E.
Matsubara
Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
- F. None of above. chosen
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
district
ⓘ
entertainment district ⓘ neighborhood ⓘ shopping district ⓘ |
| country | Japan ⓘ |
| hasCity | Tokyo ⓘ |
| hasFeature |
busy pedestrian streets
ⓘ
high foot traffic ⓘ neon signs ⓘ |
| hasLanguage | Japanese ⓘ |
| hasNotableActivity |
evening entertainment
ⓘ
late-night dining ⓘ leisure activities ⓘ shopping for fashion ⓘ |
| hasPostalCodePrefix | 150 ⓘ |
| hasPrefecture |
Tokyo Prefecture
ⓘ
surface form:
Tokyo Metropolis
|
| hasTimezone | Japan Standard Time ⓘ |
| hasTransportation | Shibuya Station ⓘ |
| hasTypeOfBusiness |
bars
ⓘ
cafés ⓘ clubs ⓘ restaurants ⓘ retail shops ⓘ |
| knownFor |
entertainment
ⓘ
nightlife ⓘ restaurants ⓘ shopping ⓘ |
| locatedIn |
Kantō region
ⓘ
Shibuya ⓘ Tokyo ⓘ Tokyo Prefecture ⓘ
surface form:
Tokyo Metropolis
|
| near |
Shibuya Crossing
ⓘ
Shibuya Station ⓘ |
| partOf |
Shibuya
ⓘ
surface form:
Shibuya ward
central Shibuya area ⓘ |
| touristAttraction | yes ⓘ |
| 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: Dogenzaka Description of subject: Dogenzaka is a lively entertainment and shopping district in Shibuya, Tokyo, known for its nightlife, restaurants, and proximity to the famous Shibuya Crossing.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.