Vallendar railway station

E1022518
railway station train station

Vallendar railway station is a local train stop in Vallendar, Germany, providing regional rail services that connect the town and its university campus to the wider Rhine-Moselle transport network.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label Occurrences
Vallendar railway station canonical 1
Vallendar station 1

Statements (37)

Predicate Object
instanceOf railway station ⓘ
train station ⓘ
adjacentTo Vallendar town centre ⓘ
WHU – Otto Beisheim School of Management campus NERFINISHED ⓘ
category regional railway station in Rhineland-Palatinate ⓘ
connectsTo Koblenz NERFINISHED ⓘ
Neuwied NERFINISHED ⓘ
Rhine-Moselle region NERFINISHED ⓘ
country Germany NERFINISHED ⓘ
electrified yes ⓘ
fareZoneSystem local public transport association of the Rhine-Moselle area NERFINISHED ⓘ
hasAddressLocality Vallendar NERFINISHED ⓘ
hasFacility bicycle parking ⓘ
park and ride ⓘ
platform shelters ⓘ
ticket machines ⓘ
hasStructure side platforms ⓘ
locatedIn Germany ⓘ
Rhineland-Palatinate ⓘ
Vallendar NERFINISHED ⓘ
locatedNear River Rhine NERFINISHED ⓘ
operator Deutsche Bahn ⓘ
owner DB Netz NERFINISHED ⓘ
partOf Rhine-Moselle transport network NERFINISHED ⓘ
platforms 2 ⓘ
publicTransportMode rail ⓘ
railwayLine Rechte Rheinstrecke NERFINISHED ⓘ
Right Rhine line NERFINISHED ⓘ
region Rhine-Moselle NERFINISHED ⓘ
serves Vallendar NERFINISHED ⓘ
WHU – Otto Beisheim School of Management NERFINISHED ⓘ
serviceType local train stop ⓘ
regional rail ⓘ
stationOperator DB Station&Service NERFINISHED ⓘ
tracks 2 ⓘ
usedFor commuter traffic ⓘ
student traffic ⓘ

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: Vallendar railway station
Description of subject: Vallendar railway station is a local train stop in Vallendar, Germany, providing regional rail services that connect the town and its university campus to the wider Rhine-Moselle transport network.

Referenced by (2)

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

Vallendar campus → publicTransportConnection → Vallendar railway station ⓘ
Vallendar → hasRailwayStation → Vallendar railway station ⓘ
this entity surface form: Vallendar station