Stadelhofen
E700032
Stadelhofen is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Stadelhofen canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7851472 — 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: Stadelhofen Context triple: [Oberkirch, hasSubdivision, Stadelhofen]
-
A.
Adlershof
Adlershof is a district in Berlin, Germany, known as a major science, technology, and media hub featuring research institutes, universities, and high-tech companies.
-
B.
Wilmersdorf
Wilmersdorf is a residential district in southwestern Berlin known for its affluent neighborhoods, shopping streets like Kurfürstendamm, and a mix of historic and modern architecture.
-
C.
Neuenheim district
The Neuenheim district is a residential and academic neighborhood of Heidelberg, Germany, located across the Neckar River from the historic old town and known for its proximity to the university and research institutes.
-
D.
Martinsried
Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
-
E.
Unterföhring
Unterföhring is a municipality near Munich in Bavaria, Germany, known as a major media hub hosting several television broadcasters and related companies.
- 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: Stadelhofen Target entity description: Stadelhofen is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
-
A.
Adlershof
Adlershof is a district in Berlin, Germany, known as a major science, technology, and media hub featuring research institutes, universities, and high-tech companies.
-
B.
Wilmersdorf
Wilmersdorf is a residential district in southwestern Berlin known for its affluent neighborhoods, shopping streets like Kurfürstendamm, and a mix of historic and modern architecture.
-
C.
Neuenheim district
The Neuenheim district is a residential and academic neighborhood of Heidelberg, Germany, located across the Neckar River from the historic old town and known for its proximity to the university and research institutes.
-
D.
Martinsried
Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
-
E.
Unterföhring
Unterföhring is a municipality near Munich in Bavaria, Germany, known as a major media hub hosting several television broadcasters and related companies.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
district
ⓘ
village ⓘ |
| country | Germany ⓘ |
| countrySubdivision | Baden-Württemberg ⓘ |
| district | Ortenaukreis ⓘ |
| hasAdministrativeStatus | Stadtteil ⓘ |
| hasLocalGovernmentArea | Oberkirch ⓘ |
| hasMunicipalParent | Oberkirch ⓘ |
| hasOfficialLanguage | German ⓘ |
| hasSettlementType | village ⓘ |
| languageUsed | German ⓘ |
| locatedIn |
Baden-Württemberg
ⓘ
Germany ⓘ Ortenau region ⓘ
linked to:
Ortenaukreis
|
| locatedInAdministrativeTerritory |
Ortenau
ⓘ
linked to:
Ortenaukreis
Ortenaukreis ⓘ |
| locatedInContinent | Europe ⓘ |
| locatedInCountry | Germany ⓘ |
| locatedInFederalState | Baden-Württemberg ⓘ |
| partOf |
Baden-Württemberg
ⓘ
Germany ⓘ Oberkirch ⓘ |
| region |
Ortenau
ⓘ
linked to:
Ortenaukreis
|
| timeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
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: Stadelhofen Description of subject: Stadelhofen is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.