Schelklingen station
E784968
Schelklingen station is a regional railway stop in the town of Schelklingen in Baden-Württemberg, Germany, serving local passenger services on the surrounding rail network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Schelklingen station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9223359 — 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: Schelklingen station Context triple: [Schelklingen, hasRailwayStation, Schelklingen station]
-
A.
Rastatt station
Rastatt station is the main railway station serving the town of Rastatt in Baden-Württemberg, Germany, providing regional and long-distance rail connections.
-
B.
Emmerich station
Emmerich station is a railway station in the German town of Emmerich am Rhein that serves as a regional and cross-border transport hub near the Dutch border.
-
C.
Neu-Ulm station
Neu-Ulm station is a railway station in the Bavarian town of Neu-Ulm, Germany, serving regional and local train services on routes including those connecting to nearby Ulm.
-
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.
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.
- 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: Schelklingen station Target entity description: Schelklingen station is a regional railway stop in the town of Schelklingen in Baden-Württemberg, Germany, serving local passenger services on the surrounding rail network.
-
A.
Rastatt station
Rastatt station is the main railway station serving the town of Rastatt in Baden-Württemberg, Germany, providing regional and long-distance rail connections.
-
B.
Emmerich station
Emmerich station is a railway station in the German town of Emmerich am Rhein that serves as a regional and cross-border transport hub near the Dutch border.
-
C.
Neu-Ulm station
Neu-Ulm station is a railway station in the Bavarian town of Neu-Ulm, Germany, serving regional and local train services on routes including those connecting to nearby Ulm.
-
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.
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.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf | railway station ⓘ |
| continent | Europe ⓘ |
| country | Germany NERFINISHED ⓘ |
| fareSystem | regional public transport fares ⓘ |
| hasFunction |
local connectivity
ⓘ
passenger transport ⓘ |
| hasLanguageOfSignage | German ⓘ |
| hasPlatforms | yes ⓘ |
| hasRailwayCode | station code used by Deutsche Bahn ⓘ |
| hasStationBuilding | yes ⓘ |
| locatedIn | Schelklingen NERFINISHED ⓘ |
| locatedInAdministrativeTerritory |
Alb-Donau-Kreis
NERFINISHED
ⓘ
Baden-Württemberg NERFINISHED ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| locatedNear | town centre of Schelklingen ⓘ |
| operator | Deutsche Bahn NERFINISHED ⓘ |
| owner | Deutsche Bahn NERFINISHED ⓘ |
| platformType | side platform ⓘ |
| railNetwork | German railway network ⓘ |
| railwayStationType | regional railway station ⓘ |
| servedBy |
local trains
ⓘ
regional trains ⓘ |
| serviceType | local passenger services ⓘ |
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: Schelklingen station Description of subject: Schelklingen station is a regional railway stop in the town of Schelklingen in Baden-Württemberg, Germany, serving local passenger services on the surrounding rail network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.