Berlin-Marienfelde station

E785227

S-Bahn station railway station

Berlin-Marienfelde station is a local railway station in the Marienfelde district of Berlin, Germany, serving regional and suburban rail services.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label	Occurrences
Berlin-Marienfelde station canonical	1
Marienfelde station	1

Statements (29)

Predicate	Object
instanceOf	S-Bahn station ⓘ railway station ⓘ
country	Germany NERFINISHED ⓘ
electrification	yes ⓘ
fareZone	Berlin AB ⓘ VBB NERFINISHED ⓘ
hasAccessibility	partially accessible ⓘ
hasAdjacentDistrict	Lankwitz NERFINISHED ⓘ Lichtenrade NERFINISHED ⓘ
hasCountrySubdivision	federal state of Berlin ⓘ
hasPlatform	island platform ⓘ
hasService	commuter traffic ⓘ passenger traffic ⓘ
hasStationCode	local Berlin S-Bahn station code (Marienfelde) ⓘ
hasTracks	multiple tracks ⓘ
locatedIn	Berlin NERFINISHED ⓘ Berlin, Germany NERFINISHED ⓘ Marienfelde NERFINISHED ⓘ Tempelhof-Schöneberg NERFINISHED ⓘ
locatedInTimeZone	Central European Summer Time ⓘ Central European Time ⓘ
openingDate	19th century ⓘ
operator	DB Station&Service NERFINISHED ⓘ
owner	DB Netz NERFINISHED ⓘ
partOf	Berlin S-Bahn network NERFINISHED ⓘ
railwayLine	Berlin–Dresden railway NERFINISHED ⓘ
servedBy	Berlin S-Bahn NERFINISHED ⓘ regional rail services ⓘ suburban rail 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: Berlin-Marienfelde station
Description of subject: Berlin-Marienfelde station is a local railway station in the Marienfelde district of Berlin, Germany, serving regional and suburban rail services.

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Marienfelde → hasRailwayStation → Berlin-Marienfelde station ⓘ

S-Bahn lines S2 → servesStation → Berlin-Marienfelde station ⓘ

subject surface form: S-Bahn line S2 (Berlin)

this entity surface form: Marienfelde station