U-Bahn line U9
E389344
U-Bahn line U9 is a major Berlin U-Bahn line running north–south through the city, connecting several important residential and commercial districts.
All labels observed (4)
| Label | Occurrences |
|---|---|
| U-Bahn line U9 canonical | 3 |
| Berlin U-Bahn line U9 | 1 |
| U-Bahn lines U9 | 1 |
| U9 line of Berlin U-Bahn | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3787925 — 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: U-Bahn line U9 Context triple: [Schloßstraße (Berlin), hasPublicTransportConnection, U-Bahn line U9]
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A.
U6 line
The U6 line is a route of the Frankfurt U-Bahn rapid transit system that connects various districts across the city, including central hubs such as Hauptwache.
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B.
Berlin U-Bahn line U6
Berlin U-Bahn line U6 is a major north–south underground metro line in Berlin that connects the northern district of Tegel with southern neighborhoods through the city center.
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C.
Nuremberg U-Bahn
The Nuremberg U-Bahn is the rapid transit system serving Nuremberg and its surrounding area in Germany, known for being one of the first networks to operate fully automated driverless trains.
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D.
Berlin U-Bahn line U7
Berlin U-Bahn line U7 is one of the city's major underground metro lines, running in a long east–west arc across numerous districts and serving as a key backbone of Berlin’s public transport network.
-
E.
Frankfurt U-Bahn
The Frankfurt U-Bahn is the rapid transit system serving Frankfurt am Main, Germany, forming a core part of the city's public transportation network with multiple underground and surface lines.
- 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: U-Bahn line U9 Target entity description: U-Bahn line U9 is a major Berlin U-Bahn line running north–south through the city, connecting several important residential and commercial districts.
-
A.
U6 line
The U6 line is a route of the Frankfurt U-Bahn rapid transit system that connects various districts across the city, including central hubs such as Hauptwache.
-
B.
Berlin U-Bahn line U6
Berlin U-Bahn line U6 is a major north–south underground metro line in Berlin that connects the northern district of Tegel with southern neighborhoods through the city center.
-
C.
Nuremberg U-Bahn
The Nuremberg U-Bahn is the rapid transit system serving Nuremberg and its surrounding area in Germany, known for being one of the first networks to operate fully automated driverless trains.
-
D.
Berlin U-Bahn line U7
Berlin U-Bahn line U7 is one of the city's major underground metro lines, running in a long east–west arc across numerous districts and serving as a key backbone of Berlin’s public transport network.
-
E.
Frankfurt U-Bahn
The Frankfurt U-Bahn is the rapid transit system serving Frankfurt am Main, Germany, forming a core part of the city's public transportation network with multiple underground and surface lines.
- F. None of above. chosen
Statements (51)
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: U-Bahn line U9 Description of subject: U-Bahn line U9 is a major Berlin U-Bahn line running north–south through the city, connecting several important residential and commercial districts.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
U-Bahn lines U9
this entity surface form:
U9 line of Berlin U-Bahn
this entity surface form:
Berlin U-Bahn line U9