Bahnhof Fürth (Bayern)
E394648
Bahnhof Fürth (Bayern) is the main railway station in Fürth, Bavaria, serving as a key regional and local rail hub connecting the city center with the wider Nuremberg metropolitan area.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Fürth (Bay) Hbf | 2 |
| Bahnhof Fürth (Bayern) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3875188 — 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: Bahnhof Fürth (Bayern) Context triple: [Fürther Innenstadt, transportConnection, Bahnhof Fürth (Bayern)]
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A.
Rosenheim station
Rosenheim station is a major railway hub in the Bavarian town of Rosenheim, Germany, serving regional and long-distance passenger services on several important rail routes.
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B.
Göppingen station
Göppingen station is a regional and long-distance railway station in the town of Göppingen in Baden-Württemberg, Germany, serving as a stop on the important Fils Valley line between Stuttgart and Ulm.
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C.
Nürnberg Hauptbahnhof
Nürnberg Hauptbahnhof is the main railway station and a central public transport hub in Nuremberg, Germany, serving regional, long-distance, and urban transit including the U-Bahn network.
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D.
Nürnberg-Dutzendteich railway station
Nürnberg-Dutzendteich railway station is a local train station in Nuremberg, Germany, serving the Dutzendteich area and providing regional rail connections.
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E.
Herrlingen railway station
Herrlingen railway station is a local train stop serving the village of Herrlingen in the municipality of Blaustein, in the German state of Baden-Württemberg.
- 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: Bahnhof Fürth (Bayern) Target entity description: Bahnhof Fürth (Bayern) is the main railway station in Fürth, Bavaria, serving as a key regional and local rail hub connecting the city center with the wider Nuremberg metropolitan area.
-
A.
Rosenheim station
Rosenheim station is a major railway hub in the Bavarian town of Rosenheim, Germany, serving regional and long-distance passenger services on several important rail routes.
-
B.
Göppingen station
Göppingen station is a regional and long-distance railway station in the town of Göppingen in Baden-Württemberg, Germany, serving as a stop on the important Fils Valley line between Stuttgart and Ulm.
-
C.
Nürnberg Hauptbahnhof
Nürnberg Hauptbahnhof is the main railway station and a central public transport hub in Nuremberg, Germany, serving regional, long-distance, and urban transit including the U-Bahn network.
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D.
Nürnberg-Dutzendteich railway station
Nürnberg-Dutzendteich railway station is a local train station in Nuremberg, Germany, serving the Dutzendteich area and providing regional rail connections.
-
E.
Herrlingen railway station
Herrlingen railway station is a local train stop serving the village of Herrlingen in the municipality of Blaustein, in the German state of Baden-Württemberg.
- F. None of above. chosen
Statements (49)
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: Bahnhof Fürth (Bayern) Description of subject: Bahnhof Fürth (Bayern) is the main railway station in Fürth, Bavaria, serving as a key regional and local rail hub connecting the city center with the wider Nuremberg metropolitan area.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Fürth (Bay) Hbf
this entity surface form:
Fürth (Bay) Hbf