Bonn public transport network
E567650
The Bonn public transport network is an integrated system of buses, trams, and regional trains serving the city of Bonn and its surrounding districts in Germany.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Bonn public transport network canonical | 1 |
| Buslinien der Stadtwerke Bonn | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6078581 — 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: Bonn public transport network Context triple: [Hardtberg, hasTransportConnection, Bonn public transport network]
-
A.
Frankfurt public transport network
The Frankfurt public transport network is an integrated system of trams, buses, S-Bahn, and U-Bahn services that provides comprehensive urban and regional mobility across Frankfurt and its surrounding areas.
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B.
Berlin public transport network
The Berlin public transport network is an integrated system of urban and regional trains, trams, buses, and ferries that provides comprehensive mobility across Germany’s capital and its surrounding areas.
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C.
Bern public transport network
The Bern public transport network is the integrated system of trams, buses, and other local transit services that provides urban and regional mobility in and around the Swiss city of Bern.
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D.
Bonn Stadtbahn lines
The Bonn Stadtbahn lines are a light rail and rapid transit network serving Bonn and surrounding areas, connecting the city with nearby municipalities such as Sankt Augustin.
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E.
Nuremberg public transport network
The Nuremberg public transport network is an integrated urban transit system in Nuremberg, Germany, comprising U-Bahn (metro), trams, buses, and regional trains operated under a unified fare and timetable structure.
- 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: Bonn public transport network Target entity description: The Bonn public transport network is an integrated system of buses, trams, and regional trains serving the city of Bonn and its surrounding districts in Germany.
-
A.
Frankfurt public transport network
The Frankfurt public transport network is an integrated system of trams, buses, S-Bahn, and U-Bahn services that provides comprehensive urban and regional mobility across Frankfurt and its surrounding areas.
-
B.
Berlin public transport network
The Berlin public transport network is an integrated system of urban and regional trains, trams, buses, and ferries that provides comprehensive mobility across Germany’s capital and its surrounding areas.
-
C.
Bern public transport network
The Bern public transport network is the integrated system of trams, buses, and other local transit services that provides urban and regional mobility in and around the Swiss city of Bern.
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D.
Bonn Stadtbahn lines
The Bonn Stadtbahn lines are a light rail and rapid transit network serving Bonn and surrounding areas, connecting the city with nearby municipalities such as Sankt Augustin.
-
E.
Nuremberg public transport network
The Nuremberg public transport network is an integrated urban transit system in Nuremberg, Germany, comprising U-Bahn (metro), trams, buses, and regional trains operated under a unified fare and timetable structure.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
public transport network
ⓘ
transport infrastructure ⓘ |
| connectsArea |
Bad Godesberg
NERFINISHED
ⓘ
Beuel NERFINISHED ⓘ Bonn University NERFINISHED ⓘ Bonn city centre NERFINISHED ⓘ Bonn government district ⓘ Hardtberg NERFINISHED ⓘ UN Campus Bonn NERFINISHED ⓘ |
| connectsTo |
Cologne Stadtbahn
NERFINISHED
ⓘ
Deutsche Bahn regional services NERFINISHED ⓘ Siegburg/Bonn high-speed rail station NERFINISHED ⓘ |
| country | Germany NERFINISHED ⓘ |
| fareSystem | Verkehrsverbund Rhein-Sieg NERFINISHED ⓘ |
| fareSystemAbbreviation | VRS NERFINISHED ⓘ |
| hasFeature |
accessibility for disabled passengers
ⓘ
bicycle-and-ride facilities ⓘ integrated ticketing ⓘ integrated timetable coordination ⓘ park-and-ride facilities ⓘ |
| hasLightRailLine |
Line 16
NERFINISHED
ⓘ
Line 18 NERFINISHED ⓘ Line 63 NERFINISHED ⓘ Line 66 NERFINISHED ⓘ Line 67 NERFINISHED ⓘ Line 68 NERFINISHED ⓘ |
| hasLine |
Bonn Stadtbahn
NERFINISHED
ⓘ
Bonn bus network ⓘ Bonn tram network NERFINISHED ⓘ |
| hasMode |
bus
ⓘ
light rail ⓘ regional train ⓘ tram ⓘ |
| hasTramLine |
Line 61
NERFINISHED
ⓘ
Line 62 NERFINISHED ⓘ |
| locatedIn | Bonn NERFINISHED ⓘ |
| mainHub |
Bonn Bertha-von-Suttner-Platz
NERFINISHED
ⓘ
Bonn Hauptbahnhof NERFINISHED ⓘ Bonn Hbf/Thomas-Mann-Straße NERFINISHED ⓘ Bonn Stadthaus NERFINISHED ⓘ |
| operator | Stadtwerke Bonn Verkehrs-GmbH NERFINISHED ⓘ |
| partOf | Rhine-Ruhr metropolitan region NERFINISHED ⓘ |
| serves |
Bonn
NERFINISHED
ⓘ
Rhein-Sieg district NERFINISHED ⓘ |
| shortName | SWB Bus und Bahn NERFINISHED ⓘ |
| usesRollingStockType |
diesel bus
ⓘ
electric bus ⓘ high-floor light rail vehicle ⓘ low-floor tram ⓘ |
| usesTicketingSystem | VRS tariff ⓘ |
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: Bonn public transport network Description of subject: The Bonn public transport network is an integrated system of buses, trams, and regional trains serving the city of Bonn and its surrounding districts in Germany.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Buslinien der Stadtwerke Bonn