Theresienwiese U-Bahn station
E506196
Theresienwiese U-Bahn station is a major Munich underground railway stop best known for serving the Theresienwiese fairgrounds, including the annual Oktoberfest.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Theresienwiese U-Bahn station canonical | 1 |
| Theresienwiese U‑Bahn station | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5244426 — 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: Theresienwiese U-Bahn station Context triple: [Theresienwiese, hasTransportConnection, Theresienwiese U-Bahn station]
-
A.
Prinzregentenplatz U-Bahn station
Prinzregentenplatz U-Bahn station is an underground metro station on Munich’s U-Bahn network serving the Prinzregentenplatz area in the Bogenhausen district.
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B.
Marienplatz U-Bahn station
Marienplatz U-Bahn station is a major underground transit hub in central Munich, serving as a key interchange point for multiple U-Bahn and S-Bahn lines beneath the historic Marienplatz square.
-
C.
Bayerischer Platz station
Bayerischer Platz station is a Berlin U-Bahn station in the Schöneberg district, notable for its historic architecture and role as an interchange between lines U4 and U7.
-
D.
Stadelhofen railway station
Stadelhofen railway station is a major urban rail hub in central Zurich, Switzerland, known for its distinctive architecture and role as a key interchange on the city’s S-Bahn network.
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E.
Frankfurt Taunusanlage station
Frankfurt Taunusanlage station is an underground S-Bahn station in central Frankfurt am Main, serving the financial district and providing key regional rail connections.
- 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: Theresienwiese U-Bahn station Target entity description: Theresienwiese U-Bahn station is a major Munich underground railway stop best known for serving the Theresienwiese fairgrounds, including the annual Oktoberfest.
-
A.
Prinzregentenplatz U-Bahn station
Prinzregentenplatz U-Bahn station is an underground metro station on Munich’s U-Bahn network serving the Prinzregentenplatz area in the Bogenhausen district.
-
B.
Marienplatz U-Bahn station
Marienplatz U-Bahn station is a major underground transit hub in central Munich, serving as a key interchange point for multiple U-Bahn and S-Bahn lines beneath the historic Marienplatz square.
-
C.
Bayerischer Platz station
Bayerischer Platz station is a Berlin U-Bahn station in the Schöneberg district, notable for its historic architecture and role as an interchange between lines U4 and U7.
-
D.
Stadelhofen railway station
Stadelhofen railway station is a major urban rail hub in central Zurich, Switzerland, known for its distinctive architecture and role as a key interchange on the city’s S-Bahn network.
-
E.
Frankfurt Taunusanlage station
Frankfurt Taunusanlage station is an underground S-Bahn station in central Frankfurt am Main, serving the financial district and providing key regional rail connections.
- F. None of above. chosen
Statements (47)
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: Theresienwiese U-Bahn station Description of subject: Theresienwiese U-Bahn station is a major Munich underground railway stop best known for serving the Theresienwiese fairgrounds, including the annual Oktoberfest.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Theresa Meadow@en
linked to: Theresienwiese U-Bahn station