Tanno
E324333
Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tanno canonical | 1 |
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
district
ⓘ
locality ⓘ |
| administrativeDivisionOf |
Kitami, Hokkaido
ⓘ
surface form:
Kitami
|
| continent | Asia ⓘ |
| country | Japan ⓘ |
| countrySubdivision |
Hokkaido
ⓘ
surface form:
Hokkaido Prefecture
|
| governingBody | Kitami city government ⓘ |
| hasClimate | humid continental climate ⓘ |
| hasLanguage | Japanese ⓘ |
| locatedIn |
Hokkaido
ⓘ
Japan ⓘ Kitami ⓘ Northern Japan ⓘ |
| locatedOnIsland | Hokkaido ⓘ |
| municipality |
Kitami, Hokkaido
ⓘ
surface form:
Kitami
|
| partOf | city of Kitami ⓘ |
| postalCountry | Japan ⓘ |
| region |
Hokkaido
ⓘ
surface form:
Hokkaido Prefecture
|
| 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: Tanno Description of subject: Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.