Tegeler Werder
E110762
Tegeler Werder is a wooded island located in Lake Tegel in Berlin, Germany, known as part of the lake’s natural landscape and recreational area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tegeler Werder canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T752306 — 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: Tegeler Werder Context triple: [Tegeler See, hasIsland, Tegeler Werder]
-
A.
Reinickendorf
Reinickendorf is a borough in the northwest of Berlin, Germany, known for its mix of residential neighborhoods, industrial areas, and green spaces including parts of Lake Tegel.
-
B.
Pankow
Pankow is a northeastern borough of Berlin known for its mix of historic neighborhoods, green spaces, and the popular district of Prenzlauer Berg.
-
C.
Steglitz-Zehlendorf
Steglitz-Zehlendorf is a borough in southwestern Berlin known for its affluent residential areas, lakes and forests, and historically significant sites such as the Wannsee Conference villa.
-
D.
Tempelhof-Schöneberg
Tempelhof-Schöneberg is a borough of Berlin, Germany, known for its mix of historic residential areas, the former Tempelhof Airport, and significant Cold War-era political sites.
-
E.
Babelsberg district
Babelsberg district is a historic quarter of Potsdam, Germany, known for its film studios, lakeside villas, and well-preserved 19th- and early 20th-century architecture.
- 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: Tegeler Werder Target entity description: Tegeler Werder is a wooded island located in Lake Tegel in Berlin, Germany, known as part of the lake’s natural landscape and recreational area.
-
A.
Reinickendorf
Reinickendorf is a borough in the northwest of Berlin, Germany, known for its mix of residential neighborhoods, industrial areas, and green spaces including parts of Lake Tegel.
-
B.
Pankow
Pankow is a northeastern borough of Berlin known for its mix of historic neighborhoods, green spaces, and the popular district of Prenzlauer Berg.
-
C.
Steglitz-Zehlendorf
Steglitz-Zehlendorf is a borough in southwestern Berlin known for its affluent residential areas, lakes and forests, and historically significant sites such as the Wannsee Conference villa.
-
D.
Tempelhof-Schöneberg
Tempelhof-Schöneberg is a borough of Berlin, Germany, known for its mix of historic residential areas, the former Tempelhof Airport, and significant Cold War-era political sites.
-
E.
Babelsberg district
Babelsberg district is a historic quarter of Potsdam, Germany, known for its film studios, lakeside villas, and well-preserved 19th- and early 20th-century architecture.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
geographical feature
ⓘ
island ⓘ wooded island ⓘ |
| country | Germany ⓘ |
| hasBodyOfWater | Lake Tegel ⓘ |
| hasCharacteristic | uninhabited or sparsely inhabited ⓘ |
| hasEcosystem | temperate forest ⓘ |
| hasEnvironment | forested ⓘ |
| hasLandCover | woodland ⓘ |
| hasName | Tegeler Werder ⓘ |
| hasNameLanguage | German ⓘ |
| hasUse |
nature conservation
ⓘ
recreation ⓘ |
| islandIn | Lake Tegel ⓘ |
| locatedIn |
Berlin
ⓘ
Berlin, Germany ⓘ
linked to:
Berlin
Lake Tegel ⓘ |
| locatedInAdministrativeTerritory | borough of Reinickendorf ⓘ |
| locatedInMetropolitanArea |
Berlin metropolitan region
ⓘ
linked to:
Berlin-Brandenburg metropolitan region
|
| locatedInRegion | state of Berlin ⓘ |
| locatedInWaterBody | Lake Tegel ⓘ |
| near | locality of Tegel ⓘ |
| partOf |
Lake Tegel natural landscape
ⓘ
natural landscape of Berlin ⓘ recreational area of Lake Tegel ⓘ urban green and water landscape 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: Tegeler Werder Description of subject: Tegeler Werder is a wooded island located in Lake Tegel in Berlin, Germany, known as part of the lake’s natural landscape and recreational area.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.