Messe
E90469
Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Messe canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T757804 — 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: Messe Context triple: [Nuremberg U-Bahn, hasStation, Messe]
-
A.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
-
B.
Expo 85
Expo 85 was a world's fair held in Tsukuba, Japan, showcasing advances in science and technology during the mid-1980s.
-
C.
Expo '75
Expo '75 was a world's fair held in Okinawa, Japan, that showcased marine science and technology while promoting the island's post-reversion development and international exchange.
-
D.
Museumsufer Frankfurt
Museumsufer Frankfurt is Frankfurt am Main’s renowned museum district along the River Main, featuring a dense cluster of major art, cultural, and historical museums.
-
E.
Carinhall
Carinhall was the lavish country estate and hunting lodge of Nazi leader Hermann Göring, located in the Schorfheide forest north of Berlin and used as a symbol of his power and status.
- 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: Messe Target entity description: Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
-
A.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
-
B.
Expo 85
Expo 85 was a world's fair held in Tsukuba, Japan, showcasing advances in science and technology during the mid-1980s.
-
C.
Expo '75
Expo '75 was a world's fair held in Okinawa, Japan, that showcased marine science and technology while promoting the island's post-reversion development and international exchange.
-
D.
Museumsufer Frankfurt
Museumsufer Frankfurt is Frankfurt am Main’s renowned museum district along the River Main, featuring a dense cluster of major art, cultural, and historical museums.
-
E.
Carinhall
Carinhall was the lavish country estate and hunting lodge of Nazi leader Hermann Göring, located in the Schorfheide forest north of Berlin and used as a symbol of his power and status.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
Nuremberg U-Bahn station
ⓘ
underground railway station ⓘ |
| accessible | yes ⓘ |
| country | Germany ⓘ |
| fareZone | VGN ⓘ |
| hasLanguage | German ⓘ |
| hasStationCode | ME ⓘ |
| hasTransportMode | rapid transit ⓘ |
| locatedIn | Nuremberg ⓘ |
| locatedInAdministrativeTerritorialEntity | Bavaria ⓘ |
| locatedInDistrict | Nürnberg-Langwasser ⓘ |
| locatedInTimeZone |
Central European Summer Time
ⓘ
Central European Time ⓘ |
| namedAfter |
Messe Nürnberg
ⓘ
linked to:
Nürnberg Messe
|
| numberOfPlatforms | 1 ⓘ |
| numberOfTracks | 2 ⓘ |
| operator | Verkehrs-Aktiengesellschaft Nürnberg ⓘ |
| ownedBy | Stadtwerke Nürnberg ⓘ |
| partOf | Nuremberg U-Bahn ⓘ |
| platformType | island platform ⓘ |
| railwayLine |
Nuremberg U1 line
ⓘ
linked to:
Nuremberg U-Bahn
|
| serves |
Messe Nürnberg
ⓘ
linked to:
Nürnberg Messe
Nuremberg exhibition grounds ⓘ
linked to:
Nazi Party Rally Grounds
Nuremberg trade fair grounds ⓘ
linked to:
Nazi Party Rally Grounds
|
| structureType | underground ⓘ |
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: Messe Description of subject: Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.