Röntgental station
E1021837
Röntgental station is a local railway stop serving the village of Röntgental in the municipality of Panketal, Brandenburg, Germany.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Röntgental station canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T13113859 — 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: Röntgental station Context triple: [Panketal, hasRailwayStation, Röntgental station]
-
A.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
B.
Rommen station
Rommen station is a metro stop in Oslo, Norway, located in the Groruddalen area and integrated into the city's rapid transit network.
-
C.
Vestli station
Vestli station is an Oslo Metro rapid transit station located in the Vestli neighborhood in the Stovner borough of Oslo, Norway.
-
D.
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
-
E.
Märsta Station
Märsta Station is a key suburban railway hub in the town of Märsta, serving as a northern terminus and important node in the Stockholm commuter rail network.
- 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: Röntgental station Target entity description: Röntgental station is a local railway stop serving the village of Röntgental in the municipality of Panketal, Brandenburg, Germany.
-
A.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
B.
Rommen station
Rommen station is a metro stop in Oslo, Norway, located in the Groruddalen area and integrated into the city's rapid transit network.
-
C.
Vestli station
Vestli station is an Oslo Metro rapid transit station located in the Vestli neighborhood in the Stovner borough of Oslo, Norway.
-
D.
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
-
E.
Märsta Station
Märsta Station is a key suburban railway hub in the town of Märsta, serving as a northern terminus and important node in the Stockholm commuter rail network.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
S-Bahn station
ⓘ
railway station ⓘ |
| country | Germany NERFINISHED ⓘ |
| fareSystem | Verkehrsverbund Berlin-Brandenburg NERFINISHED ⓘ |
| fareZone | VBB: Berlin C/5257 ⓘ |
| hasCategory |
Berlin S-Bahn stations in Brandenburg
ⓘ
Buildings and structures in Barnim ⓘ Railway stations in Brandenburg ⓘ |
| hasSymbol |
rail
ⓘ
s-bahn NERFINISHED ⓘ |
| hasWebsite | https://www.bahnhof.de ⓘ |
| locatedIn | Röntgental NERFINISHED ⓘ |
| locatedInContinent | Europe ⓘ |
| locatedInMunicipality | Panketal NERFINISHED ⓘ |
| locatedInRegion | Barnim NERFINISHED ⓘ |
| locatedInState | Brandenburg NERFINISHED ⓘ |
| locatedNearCity | Berlin NERFINISHED ⓘ |
| openingDate | 1903 ⓘ |
| operator | DB Station&Service NERFINISHED ⓘ |
| owner | DB Netz NERFINISHED ⓘ |
| platformCount | 1 ⓘ |
| platformType | island platform ⓘ |
| railwayLine | Berlin–Szczecin railway NERFINISHED ⓘ |
| servedBy | Berlin S-Bahn NERFINISHED ⓘ |
| servedByLine | S2 NERFINISHED ⓘ |
| servesMunicipality | Panketal NERFINISHED ⓘ |
| servesSettlement | Röntgental village NERFINISHED ⓘ |
| structureType | at-grade ⓘ |
| symbolLocation |
berlin
NERFINISHED
ⓘ
de ⓘ |
| trackCount | 2 ⓘ |
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: Röntgental station Description of subject: Röntgental station is a local railway stop serving the village of Röntgental in the municipality of Panketal, Brandenburg, Germany.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
S-Bahn line S2 (Berlin)