Gustav-Adolf-Straße
E444782
Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Gustav-Adolf-Straße canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4163167 — 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: Gustav-Adolf-Straße Context triple: [U3, hasTerminus, Gustav-Adolf-Straße]
-
A.
Gneisenaustraße
Gneisenaustraße is a Berlin U-Bahn station on line U7 located in the Kreuzberg district.
-
B.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
-
C.
Schwartzkopffstraße
Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
E.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
- 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: Gustav-Adolf-Straße Target entity description: Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
-
A.
Gneisenaustraße
Gneisenaustraße is a Berlin U-Bahn station on line U7 located in the Kreuzberg district.
-
B.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
-
C.
Schwartzkopffstraße
Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
E.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
Munich U-Bahn station
ⓘ
rapid transit station ⓘ |
| cityServed | Munich ⓘ |
| country | Germany ⓘ |
| fareSystem | Münchner Verkehrs- und Tarifverbund ⓘ |
| fareSystemAbbreviation | MVV ⓘ |
| hasAccessibility | yes ⓘ |
| hasElectrification | third rail ⓘ |
| hasStructureType | underground station ⓘ |
| hasTicketZoneSystem | MVV tariff zones ⓘ |
| isPartOf | Munich U-Bahn line U3 ⓘ |
| locatedIn |
Bavaria
ⓘ
Germany ⓘ Munich ⓘ |
| namedAfter | Gustav-Adolf-Straße (street) ⓘ |
| numberOfPlatforms | 1 ⓘ |
| numberOfTracks | 2 ⓘ |
| operator | Münchner Verkehrsgesellschaft ⓘ |
| operatorAbbreviation | MVG ⓘ |
| owner | Stadtwerke München ⓘ |
| partOfNetwork | Munich U-Bahn ⓘ |
| platformType | island platform ⓘ |
| publicTransportSystem | Munich U-Bahn ⓘ |
| servedByLine | U3 ⓘ |
| terminusOf | U3 ⓘ |
| transportMode |
metro
ⓘ
subway ⓘ |
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: Gustav-Adolf-Straße Description of subject: Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.