Munich Isartor station
E758942
Munich Isartor station is a central S-Bahn railway station in Munich, Germany, located near the historic Isartor city gate and serving as a key stop on the city’s main suburban rail corridor.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Munich Isartor station canonical | 2 |
| Isartor S-Bahn station | 1 |
| Munich Isartor S-Bahn station | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8714976 — 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: Munich Isartor station Context triple: [Munich S-Bahn trunk line, connects, Munich Isartor station]
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A.
Munich Marienplatz station
Munich Marienplatz station is a major central transport hub in Munich, Germany, serving both S-Bahn and U-Bahn lines and providing access to the historic Marienplatz square.
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B.
Rosenheimer Platz station
Rosenheimer Platz station is a key Munich S-Bahn stop in the Haidhausen district, providing convenient access to the nearby Gasteig cultural center and the city center.
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C.
Nürnberg-Dürrenhof station
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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D.
Nürnberg-Steinbühl station
Nürnberg-Steinbühl station is a local railway station in Nuremberg, Germany, serving regional and S-Bahn commuter services within the city’s rail network.
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E.
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.
- 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: Munich Isartor station Target entity description: Munich Isartor station is a central S-Bahn railway station in Munich, Germany, located near the historic Isartor city gate and serving as a key stop on the city’s main suburban rail corridor.
-
A.
Munich Marienplatz station
Munich Marienplatz station is a major central transport hub in Munich, Germany, serving both S-Bahn and U-Bahn lines and providing access to the historic Marienplatz square.
-
B.
Rosenheimer Platz station
Rosenheimer Platz station is a key Munich S-Bahn stop in the Haidhausen district, providing convenient access to the nearby Gasteig cultural center and the city center.
-
C.
Nürnberg-Dürrenhof station
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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D.
Nürnberg-Steinbühl station
Nürnberg-Steinbühl station is a local railway station in Nuremberg, Germany, serving regional and S-Bahn commuter services within the city’s rail network.
-
E.
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.
- 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: Munich Isartor station Description of subject: Munich Isartor station is a central S-Bahn railway station in Munich, Germany, located near the historic Isartor city gate and serving as a key stop on the city’s main suburban rail corridor.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.