Oberhausen
E848519
Oberhausen is a small Bavarian municipality in southern Germany, situated in the rural district of Weilheim-Schongau.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Oberhausen canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T9208403 — 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: Oberhausen Context triple: [District of Weilheim-Schongau, containsMunicipality, Oberhausen]
-
A.
Oberhausen
Oberhausen is an industrial city in Germany’s Ruhr region, historically known for its coal and steel production and heavily affected by World War II bombing.
-
B.
Remscheid
Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
-
C.
Recklinghausen
Recklinghausen is a city in the Ruhr area of North Rhine-Westphalia, western Germany, known historically for coal mining and its role as a regional administrative center.
-
D.
Duisburg
Duisburg is a major industrial and port city in western Germany’s Ruhr region, known for its steel production and one of the world’s largest inland harbors.
-
E.
Hennef
Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
- 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: Oberhausen Target entity description: Oberhausen is a small Bavarian municipality in southern Germany, situated in the rural district of Weilheim-Schongau.
-
A.
Oberhausen
Oberhausen is an industrial city in Germany’s Ruhr region, historically known for its coal and steel production and heavily affected by World War II bombing.
-
B.
Remscheid
Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
-
C.
Recklinghausen
Recklinghausen is a city in the Ruhr area of North Rhine-Westphalia, western Germany, known historically for coal mining and its role as a regional administrative center.
-
D.
Duisburg
Duisburg is a major industrial and port city in western Germany’s Ruhr region, known for its steel production and one of the world’s largest inland harbors.
-
E.
Hennef
Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf | municipality ⓘ |
| administrativeTerritoryOf |
Weilheim-Schongau district
ⓘ
linked to:
District of Weilheim-Schongau
|
| country | Germany ⓘ |
| countryCode | DE ⓘ |
| countrySubdivision | Bavaria ⓘ |
| federalState | Bavaria ⓘ |
| hasGovernmentForm | municipal council ⓘ |
| hasLocalGovernmentArea |
Weilheim-Schongau district
ⓘ
linked to:
District of Weilheim-Schongau
|
| hasMunicipalStatus | municipality ⓘ |
| hasSettlementType | small municipality ⓘ |
| isInRuralDistrict | Weilheim-Schongau ⓘ |
| isRural | true ⓘ |
| isSubjectOf | municipal law of Bavaria ⓘ |
| languageUsed | German ⓘ |
| localLanguage | Bavarian ⓘ |
| locatedIn |
Bavaria
ⓘ
Germany ⓘ Upper Bavaria ⓘ Weilheim-Schongau ⓘ southern Germany ⓘ |
| locatedOnContinent | Europe ⓘ |
| officialLanguage | German ⓘ |
| partOf |
rural district of Weilheim-Schongau
ⓘ
linked to:
Landkreis Weilheim-Schongau
|
| region | Upper Bavaria ⓘ |
| state | Bavaria ⓘ |
| timeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| utcOffset | +01:00 ⓘ |
| utcOffsetDST | +02:00 ⓘ |
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: Oberhausen Description of subject: Oberhausen is a small Bavarian municipality in southern Germany, situated in the rural district of Weilheim-Schongau.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.