Langen (Hess) station
E707065
Langen (Hess) station is a regional railway station in the town of Langen in the German state of Hesse, serving local and commuter rail services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Langen (Hess) station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8056280 — 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: Langen (Hess) station Context triple: [Langen, Germany, hasRailStation, Langen (Hess) station]
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A.
Weinheim (Bergstraße) station
Weinheim (Bergstraße) station is a regional railway station in the town of Weinheim in Baden-Württemberg, Germany, serving as a local transport hub on the Bergstraße route.
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B.
Marburg (Lahn) station
Marburg (Lahn) station is the main railway station serving the university city of Marburg in the German state of Hesse.
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C.
Nassau (Lahn) station
Nassau (Lahn) station is a regional railway station serving the town of Nassau in the Lahn valley of Rhineland-Palatinate, Germany.
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D.
Dillenburg station
Dillenburg station is a regional railway station in the town of Dillenburg in Hesse, Germany, serving as a local transport hub for passenger rail services.
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E.
Rüsselsheim station
Rüsselsheim station is a railway station in Rüsselsheim am Main, Germany, serving as a local and regional transport hub on the Main Railway between Frankfurt and Mainz.
- 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: Langen (Hess) station Target entity description: Langen (Hess) station is a regional railway station in the town of Langen in the German state of Hesse, serving local and commuter rail services.
-
A.
Weinheim (Bergstraße) station
Weinheim (Bergstraße) station is a regional railway station in the town of Weinheim in Baden-Württemberg, Germany, serving as a local transport hub on the Bergstraße route.
-
B.
Marburg (Lahn) station
Marburg (Lahn) station is the main railway station serving the university city of Marburg in the German state of Hesse.
-
C.
Nassau (Lahn) station
Nassau (Lahn) station is a regional railway station serving the town of Nassau in the Lahn valley of Rhineland-Palatinate, Germany.
-
D.
Dillenburg station
Dillenburg station is a regional railway station in the town of Dillenburg in Hesse, Germany, serving as a local transport hub for passenger rail services.
-
E.
Rüsselsheim station
Rüsselsheim station is a railway station in Rüsselsheim am Main, Germany, serving as a local and regional transport hub on the Main Railway between Frankfurt and Mainz.
- F. None of above. chosen
Statements (40)
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: Langen (Hess) station Description of subject: Langen (Hess) station is a regional railway station in the town of Langen in the German state of Hesse, serving local and commuter rail services.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.