Weddinghofen
E876460
Weddinghofen is a former municipality in North Rhine-Westphalia, Germany, that was incorporated into the town of Bergkamen.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Weddinghofen canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10634445 — 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: Weddinghofen Context triple: [Bergkamen, formedByMergerOf, Weddinghofen]
-
A.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
B.
Gersthofen
Gersthofen is a town in Bavaria, Germany, located just north of Augsburg and known for its industrial presence and role as a regional transport hub.
-
C.
Schlagenhofen
Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
-
D.
Reichertshofen
Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
-
E.
Vilgertshofen
Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
- 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: Weddinghofen Target entity description: Weddinghofen is a former municipality in North Rhine-Westphalia, Germany, that was incorporated into the town of Bergkamen.
-
A.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
B.
Gersthofen
Gersthofen is a town in Bavaria, Germany, located just north of Augsburg and known for its industrial presence and role as a regional transport hub.
-
C.
Schlagenhofen
Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
-
D.
Reichertshofen
Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
-
E.
Vilgertshofen
Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
Ortsteil
ⓘ
former municipality ⓘ |
| country | Germany NERFINISHED ⓘ |
| hasAreaCode | 02307 ⓘ |
| hasLanguage | German ⓘ |
| hasMunicipalStatus | former independent municipality ⓘ |
| hasNeighboringAdministrativeUnit |
Bergkamen-Mitte
NERFINISHED
ⓘ
Heil NERFINISHED ⓘ Methler NERFINISHED ⓘ Oberaden NERFINISHED ⓘ |
| hasOfficialNameLanguage | German ⓘ |
| hasPostalCode | 59192 ⓘ |
| hasSubdivisionType | Stadtteil ⓘ |
| hasTypeOfSettlement | village ⓘ |
| hasVehicleRegistrationCode | UN NERFINISHED ⓘ |
| incorporatedInto | Bergkamen NERFINISHED ⓘ |
| isSubjectOf | local history of Bergkamen ⓘ |
| locatedIn |
Bergkamen
NERFINISHED
ⓘ
Federal Republic of Germany NERFINISHED ⓘ North Rhine-Westphalia ⓘ Ruhr area NERFINISHED ⓘ Westphalia NERFINISHED ⓘ |
| locatedInAdministrativeTerritory | Unna district NERFINISHED ⓘ |
| locatedInRegion | Arnsberg administrative region NERFINISHED ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| locatedNear |
Dortmund
NERFINISHED
ⓘ
Kamen NERFINISHED ⓘ Lünen NERFINISHED ⓘ |
| partOf | Bergkamen NERFINISHED ⓘ |
| partOfUrbanArea | Bergkamen urban area NERFINISHED ⓘ |
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: Weddinghofen Description of subject: Weddinghofen is a former municipality in North Rhine-Westphalia, Germany, that was incorporated into the town of Bergkamen.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.