Wilhelmstadt
E384930
Wilhelmstadt is a locality in the Spandau borough of Berlin, Germany, known for its residential character and proximity to the Havel River and surrounding green areas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wilhelmstadt canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3736177 — 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: Wilhelmstadt Context triple: [Gatow, adjacentTo, Wilhelmstadt]
-
A.
Laboe
Laboe is a seaside town in northern Germany known for its Baltic Sea beaches and the Laboe Naval Memorial overlooking Kiel Bay.
-
B.
Oldenburg
Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
-
C.
Bremerhaven
Bremerhaven is a major German port city on the North Sea, known for its maritime industry, shipbuilding, and role as a key hub for trade and logistics.
-
D.
Kiel
Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
-
E.
Marburg
Marburg is a historic university town in central Germany known for its well-preserved medieval old town and the Philipps-Universität, one of the oldest Protestant universities in the world.
- 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: Wilhelmstadt Target entity description: Wilhelmstadt is a locality in the Spandau borough of Berlin, Germany, known for its residential character and proximity to the Havel River and surrounding green areas.
-
A.
Laboe
Laboe is a seaside town in northern Germany known for its Baltic Sea beaches and the Laboe Naval Memorial overlooking Kiel Bay.
-
B.
Oldenburg
Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
-
C.
Bremerhaven
Bremerhaven is a major German port city on the North Sea, known for its maritime industry, shipbuilding, and role as a key hub for trade and logistics.
-
D.
Kiel
Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
-
E.
Marburg
Marburg is a historic university town in central Germany known for its well-preserved medieval old town and the Philipps-Universität, one of the oldest Protestant universities in the world.
- F. None of above. chosen
Statements (38)
| Predicate | Object |
|---|---|
| instanceOf |
Ortsteil
ⓘ
locality ⓘ urban district ⓘ |
| borders |
Brandenburg
ⓘ
Gatow ⓘ Havel River ⓘ Spandau locality ⓘ
linked to:
Spandau
Staaken ⓘ |
| country | Germany ⓘ |
| governedBy | Borough council of Spandau ⓘ |
| hasAreaCode | 030 ⓘ |
| hasCharacteristic |
green areas
ⓘ
residential area ⓘ suburban character ⓘ |
| hasFeature |
low- to mid-rise housing
ⓘ
parks and green spaces ⓘ waterfront areas on the Havel ⓘ |
| hasLandUse |
recreational
ⓘ
residential ⓘ |
| hasLanguage | German ⓘ |
| hasMunicipalCode | Berlin-Spandau locality code for Wilhelmstadt ⓘ |
| hasPostalCode |
13593
ⓘ
13595 ⓘ 13597 ⓘ |
| hasRiver | Havel ⓘ |
| hasTransportConnection | Berlin public transport network ⓘ |
| locatedIn |
Berlin
ⓘ
Spandau ⓘ |
| locatedInContinent | Europe ⓘ |
| locatedInCountrySubdivision |
Land Berlin
ⓘ
linked to:
federal state of Berlin
|
| locatedInRegion |
western Berlin
ⓘ
linked to:
Western sectors of Berlin
|
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| locatedOn | western bank of the Havel River ⓘ |
| partOf |
Berlin metropolitan area
ⓘ
administrative district of Spandau ⓘ borough of Spandau ⓘ
linked to:
Berliner Bezirk Spandau
federal state of Berlin ⓘ |
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: Wilhelmstadt Description of subject: Wilhelmstadt is a locality in the Spandau borough of Berlin, Germany, known for its residential character and proximity to the Havel River and surrounding green areas.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Gatow village