S-Bahn station Yorckstraße
E352718
S-Bahn station Yorckstraße is a Berlin urban rail station in the Kreuzberg/Schöneberg area, serving multiple S-Bahn lines and providing access to nearby parks, cemeteries, and cultural sites.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Yorckstraße (S1) station | 2 |
| Yorckstraße (S2, S25, S26) station | 2 |
| S-Bahn station Yorckstraße canonical | 1 |
| Yorckstraße (S-Bahn) station | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3381922 — 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: S-Bahn station Yorckstraße Context triple: [Alter St.-Matthäus-Kirchhof Berlin, locatedNear, S-Bahn station Yorckstraße]
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A.
Bornholmer Strasse S-Bahn station
Bornholmer Strasse S-Bahn station is a Berlin suburban railway station notable for its location at a former inner-German border crossing and its role in the events surrounding the fall of the Berlin Wall.
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B.
Reeperbahn S-Bahn station
Reeperbahn S-Bahn station is a rapid transit railway stop in Hamburg, Germany, serving the city’s famous Reeperbahn nightlife and entertainment district.
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C.
Berlin-Schöneberg station
Berlin-Schöneberg station is a railway station in Berlin’s Schöneberg district, serving as a local transport hub for S-Bahn and regional rail services.
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D.
Wuppertal-Ronsdorf station
Wuppertal-Ronsdorf station is a regional railway station in the Ronsdorf district of Wuppertal, Germany, serving local passenger rail services.
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E.
S-Bahn station Berlin Grunewald
S-Bahn station Berlin Grunewald is a suburban railway station in Berlin that serves the Grunewald district and nearby forest area, connecting it to the city’s wider rapid transit network.
- 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: S-Bahn station Yorckstraße Target entity description: S-Bahn station Yorckstraße is a Berlin urban rail station in the Kreuzberg/Schöneberg area, serving multiple S-Bahn lines and providing access to nearby parks, cemeteries, and cultural sites.
-
A.
Bornholmer Strasse S-Bahn station
Bornholmer Strasse S-Bahn station is a Berlin suburban railway station notable for its location at a former inner-German border crossing and its role in the events surrounding the fall of the Berlin Wall.
-
B.
Reeperbahn S-Bahn station
Reeperbahn S-Bahn station is a rapid transit railway stop in Hamburg, Germany, serving the city’s famous Reeperbahn nightlife and entertainment district.
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C.
Berlin-Schöneberg station
Berlin-Schöneberg station is a railway station in Berlin’s Schöneberg district, serving as a local transport hub for S-Bahn and regional rail services.
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D.
Wuppertal-Ronsdorf station
Wuppertal-Ronsdorf station is a regional railway station in the Ronsdorf district of Wuppertal, Germany, serving local passenger rail services.
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E.
S-Bahn station Berlin Grunewald
S-Bahn station Berlin Grunewald is a suburban railway station in Berlin that serves the Grunewald district and nearby forest area, connecting it to the city’s wider rapid transit network.
- F. None of above. chosen
Statements (47)
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: S-Bahn station Yorckstraße Description of subject: S-Bahn station Yorckstraße is a Berlin urban rail station in the Kreuzberg/Schöneberg area, serving multiple S-Bahn lines and providing access to nearby parks, cemeteries, and cultural sites.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Yorckstraße (S1) station
this entity surface form:
Yorckstraße (S2, S25, S26) station
this entity surface form:
Yorckstraße (S-Bahn) station
this entity surface form:
Yorckstraße (S1) station
this entity surface form:
Yorckstraße (S2, S25, S26) station