Nürnberg-Dürrenhof station
E412444
Nürnberg-Dürrenhof station is a local railway stop in Nuremberg, Germany, serving regional and S-Bahn commuter traffic just east of the city’s main station.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nürnberg-Dürrenhof station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3966857 — 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: Nürnberg-Dürrenhof station Context triple: [Nürnberg Hauptbahnhof, hasAdjacentStation, Nürnberg-Dürrenhof station]
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A.
Nürnberg Röthenbach station
Nürnberg Röthenbach station is an underground Nuremberg U-Bahn station in the southwest of the city serving as a key public transport hub for the surrounding residential and commercial areas.
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B.
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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C.
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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D.
Possenhofen station
Possenhofen station is a regional railway stop in the municipality of Pöcking, Bavaria, serving the area near Lake Starnberg.
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E.
Starnberg railway station
Starnberg railway station is a regional train station in the Bavarian town of Starnberg, Germany, serving as a key stop on the Munich–Garmisch-Partenkirchen railway line along Lake Starnberg.
- 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: Nürnberg-Dürrenhof station Target entity description: Nürnberg-Dürrenhof station is a local railway stop in Nuremberg, Germany, serving regional and S-Bahn commuter traffic just east of the city’s main station.
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A.
Nürnberg Röthenbach station
Nürnberg Röthenbach station is an underground Nuremberg U-Bahn station in the southwest of the city serving as a key public transport hub for the surrounding residential and commercial areas.
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B.
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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C.
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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D.
Possenhofen station
Possenhofen station is a regional railway stop in the municipality of Pöcking, Bavaria, serving the area near Lake Starnberg.
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E.
Starnberg railway station
Starnberg railway station is a regional train station in the Bavarian town of Starnberg, Germany, serving as a key stop on the Munich–Garmisch-Partenkirchen railway line along Lake Starnberg.
- F. None of above. chosen
Statements (36)
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: Nürnberg-Dürrenhof station Description of subject: Nürnberg-Dürrenhof station is a local railway stop in Nuremberg, Germany, serving regional and S-Bahn commuter traffic just east of the city’s main station.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.