Deisenhausen
E823061
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Deisenhausen canonical | 1 |
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
municipality
ⓘ
populated place ⓘ |
| country | Germany NERFINISHED ⓘ |
| countrySubdivision | Free State of Bavaria NERFINISHED ⓘ |
| hasClimateZone | temperate climate ⓘ |
| hasGeographicalCharacteristic | rural municipality ⓘ |
| hasGovernmentForm | municipal council ⓘ |
| hasISO3166-2Code | DE-BY ⓘ |
| hasMunicipalStatus | Gemeinde ⓘ |
| hasOfficialLanguage | German ⓘ |
| hasRegionalContext | Bavarian Swabia NERFINISHED ⓘ |
| hasSubdivision | district of Günzburg (local level) ⓘ |
| locatedIn |
Bavaria
ⓘ
Federal Republic of Germany NERFINISHED ⓘ district of Günzburg NERFINISHED ⓘ southern Germany ⓘ |
| locatedInAdministrativeRegion | Swabia (Bavaria) NERFINISHED ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| locatedOnContinent | Europe ⓘ |
| partOf |
Swabia cultural region
NERFINISHED
ⓘ
administrative region of Swabia (Regierungsbezirk Schwaben) NERFINISHED ⓘ region of Swabia in southern Germany ⓘ |
| usesDaylightSavingTime | yes ⓘ |
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: Deisenhausen Description of subject: Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.