Bayerischer Platz station
E404431
Bayerischer Platz station is a Berlin U-Bahn station in the Schöneberg district, notable for its historic architecture and role as an interchange between lines U4 and U7.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Bayerischer Platz station canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3848796 — 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: Bayerischer Platz station Context triple: [Berlin U-Bahn line U4, hasStation, Bayerischer Platz station]
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A.
Viktoria-Luise-Platz station
Viktoria-Luise-Platz station is a Berlin U-Bahn station on the short U4 line, serving the Schöneberg district near Viktoria-Luise-Platz square.
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B.
Prinzregentenplatz U-Bahn station
Prinzregentenplatz U-Bahn station is an underground metro station on Munich’s U-Bahn network serving the Prinzregentenplatz area in the Bogenhausen district.
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C.
Willy-Brandt-Platz station
Willy-Brandt-Platz station is a central Frankfurt U-Bahn interchange station providing access to the city’s financial district and nearby cultural attractions.
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D.
Max-Weber-Platz U-Bahn station
Max-Weber-Platz U-Bahn station is a major Munich underground station and interchange point on the city’s U-Bahn network, serving the Haidhausen area east of the city center.
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E.
Marienplatz U-Bahn station
Marienplatz U-Bahn station is a major underground transit hub in central Munich, serving as a key interchange point for multiple U-Bahn and S-Bahn lines beneath the historic Marienplatz square.
- 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: Bayerischer Platz station Target entity description: Bayerischer Platz station is a Berlin U-Bahn station in the Schöneberg district, notable for its historic architecture and role as an interchange between lines U4 and U7.
-
A.
Viktoria-Luise-Platz station
Viktoria-Luise-Platz station is a Berlin U-Bahn station on the short U4 line, serving the Schöneberg district near Viktoria-Luise-Platz square.
-
B.
Prinzregentenplatz U-Bahn station
Prinzregentenplatz U-Bahn station is an underground metro station on Munich’s U-Bahn network serving the Prinzregentenplatz area in the Bogenhausen district.
-
C.
Willy-Brandt-Platz station
Willy-Brandt-Platz station is a central Frankfurt U-Bahn interchange station providing access to the city’s financial district and nearby cultural attractions.
-
D.
Max-Weber-Platz U-Bahn station
Max-Weber-Platz U-Bahn station is a major Munich underground station and interchange point on the city’s U-Bahn network, serving the Haidhausen area east of the city center.
-
E.
Marienplatz U-Bahn station
Marienplatz U-Bahn station is a major underground transit hub in central Munich, serving as a key interchange point for multiple U-Bahn and S-Bahn lines beneath the historic Marienplatz square.
- F. None of above. chosen
Statements (41)
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: Bayerischer Platz station Description of subject: Bayerischer Platz station is a Berlin U-Bahn station in the Schöneberg district, notable for its historic architecture and role as an interchange between lines U4 and U7.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.