U4
E530779
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
All labels observed (1)
| Label | Occurrences |
|---|---|
| U4 canonical | 8 |
How this entity was disambiguated
This entity first appeared as the object of triple T5522404 — 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: U4 Context triple: [Berlin U-Bahn, hasLine, U4]
-
A.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
C.
U3
U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
-
D.
U1
U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
-
E.
U4 Network
U4 Network is an international alliance of research-intensive universities that collaborate closely on education, research, and academic exchange.
- 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: U4 Target entity description: U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
-
A.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
C.
U3
U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
-
D.
U1
U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
-
E.
U4 Network
U4 Network is an international alliance of research-intensive universities that collaborate closely on education, research, and academic exchange.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
Berlin U-Bahn line
ⓘ
rapid transit line ⓘ |
| connectsStation |
Bayerischer Platz
NERFINISHED
ⓘ
Innsbrucker Platz NERFINISHED ⓘ Nollendorfplatz NERFINISHED ⓘ Rathaus Schöneberg NERFINISHED ⓘ Viktoria-Luise-Platz NERFINISHED ⓘ |
| fareSystem | VBB tariff zone A NERFINISHED ⓘ |
| hasConstructionType | cut-and-cover ⓘ |
| hasElectrification | third rail ⓘ |
| hasInterchangeAt | Nollendorfplatz NERFINISHED ⓘ |
| hasInterchangeWithLine |
U1
ⓘ
U2 NERFINISHED ⓘ U3 ⓘ |
| hasLineColor | yellow ⓘ |
| hasLineNumber | 4 ⓘ |
| hasLocale | central Berlin NERFINISHED ⓘ |
| hasNumberOfStations | 5 ⓘ |
| hasNumberOfTracks | 2 ⓘ |
| hasOperatorAbbreviation | BVG NERFINISHED ⓘ |
| hasPrimaryFunction | local transport within Schöneberg ⓘ |
| hasRouteType | urban metro ⓘ |
| hasServiceType | passenger transport ⓘ |
| hasSignageLetter | U ⓘ |
| hasSystemLength | approximately 2.9 km ⓘ |
| hasTerminus |
Innsbrucker Platz
NERFINISHED
ⓘ
Nollendorfplatz NERFINISHED ⓘ |
| hasTrackGauge | standard gauge ⓘ |
| isFullyWithinTariffZone | Berlin A NERFINISHED ⓘ |
| isNonBranchingLine | true ⓘ |
| isOneOf |
oldest Berlin U-Bahn lines
ⓘ
shortest Berlin U-Bahn lines ⓘ |
| isUnderground | true ⓘ |
| locatedIn |
Berlin
NERFINISHED
ⓘ
Germany ⓘ |
| locatedInAdministrativeDistrict | Schöneberg NERFINISHED ⓘ |
| openedAs | Schöneberg subway NERFINISHED ⓘ |
| openingDate | 1910 ⓘ |
| operatedBy | Berliner Verkehrsbetriebe NERFINISHED ⓘ |
| originallyBuiltBy | City of Schöneberg NERFINISHED ⓘ |
| originallyIndependentFrom | rest of Berlin U-Bahn network ⓘ |
| partOf | Berlin U-Bahn NERFINISHED ⓘ |
| runsEntirelyWithin | Schöneberg NERFINISHED ⓘ |
| servesBorough | Tempelhof-Schöneberg NERFINISHED ⓘ |
| usesRollingStockType | small-profile trains ⓘ |
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: U4 Description of subject: U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.