Haveluferanlagen
E863347
Haveluferanlagen is a riverside green space and recreational park area along the Havel in Berlin’s Spandau district.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Haveluferanlagen canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10450778 — 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: Haveluferanlagen Context triple: [Berliner Bezirk Spandau, hasGreenSpace, Haveluferanlagen]
-
A.
Eggermühlen
Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
B.
Plöckenstein
Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
-
C.
Weiherhammer
Weiherhammer is a small municipality in the Upper Palatinate region of Bavaria, Germany, known for its rural character and local industry.
-
D.
Rotherbaum
Rotherbaum is a central, upscale district of Hamburg, Germany, known for its elegant residential areas, cultural institutions, and proximity to the Alster lakes.
-
E.
Oberhauser
Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
- 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: Haveluferanlagen Target entity description: Haveluferanlagen is a riverside green space and recreational park area along the Havel in Berlin’s Spandau district.
-
A.
Eggermühlen
Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
B.
Plöckenstein
Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
-
C.
Weiherhammer
Weiherhammer is a small municipality in the Upper Palatinate region of Bavaria, Germany, known for its rural character and local industry.
-
D.
Rotherbaum
Rotherbaum is a central, upscale district of Hamburg, Germany, known for its elegant residential areas, cultural institutions, and proximity to the Alster lakes.
-
E.
Oberhauser
Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
park
ⓘ
recreational area ⓘ |
| city | Berlin ⓘ |
| country | Germany ⓘ |
| district | Spandau ⓘ |
| environment | urban waterfront ⓘ |
| hasAmenity | seating areas ⓘ |
| hasFeature |
benches
ⓘ
green spaces ⓘ lawns ⓘ recreational facilities ⓘ riverside promenade ⓘ trees ⓘ walking paths ⓘ |
| hasUse |
jogging
ⓘ
leisure ⓘ recreation ⓘ relaxation ⓘ walking ⓘ |
| hasVegetationType | park vegetation ⓘ |
| hasView |
Havel
ⓘ
river landscape ⓘ |
| isPartOf | Havel riverfront in Spandau ⓘ |
| isPublicAccess | yes ⓘ |
| locatedIn |
Berlin
ⓘ
Germany ⓘ Spandau ⓘ |
| locatedOnWaterbody | Havel ⓘ |
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: Haveluferanlagen Description of subject: Haveluferanlagen is a riverside green space and recreational park area along the Havel in Berlin’s Spandau district.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.