A73 motorway
E659006
The A73 motorway is a major German autobahn that runs through Bavaria and Thuringia, linking cities such as Nuremberg, Erlangen, Bamberg, and Suhl.
All labels observed (2)
| Label | Occurrences |
|---|---|
| A73 motorway canonical | 2 |
| A71 motorway | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4498903 — 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: A73 motorway Context triple: [Nuremberg metropolitan region, hasMotorwayConnection, A73 motorway]
-
A.
A73 motorway
The A73 motorway is a major Dutch highway in the southeastern Netherlands that connects several cities and regions, including the area around Heumen.
-
B.
A75 motorway
The A75 motorway is a major French highway running through central and southern France, known for connecting Clermont-Ferrand to Béziers and featuring the iconic Millau Viaduct.
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C.
A7 motorway
The A7 motorway is one of Germany's major north–south autobahns, running the length of the country and passing near cities such as Göttingen.
-
D.
A7 motorway
The A7 motorway is a major French highway that runs through the Rhône Valley, linking Lyon to Marseille and serving as a key north–south route in southeastern France.
-
E.
A27 motorway
The A27 motorway is a major north–south highway in the Netherlands that connects several key cities and regions in the central part of the country.
- 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: A73 motorway Target entity description: The A73 motorway is a major German autobahn that runs through Bavaria and Thuringia, linking cities such as Nuremberg, Erlangen, Bamberg, and Suhl.
-
A.
A73 motorway
The A73 motorway is a major Dutch highway in the southeastern Netherlands that connects several cities and regions, including the area around Heumen.
-
B.
A75 motorway
The A75 motorway is a major French highway running through central and southern France, known for connecting Clermont-Ferrand to Béziers and featuring the iconic Millau Viaduct.
-
C.
A7 motorway
The A7 motorway is a major French highway that runs through the Rhône Valley, linking Lyon to Marseille and serving as a key north–south route in southeastern France.
-
D.
A7 motorway
The A7 motorway is one of Germany's major north–south autobahns, running the length of the country and passing near cities such as Göttingen.
-
E.
A27 motorway
The A27 motorway is a major north–south highway in the Netherlands that connects several key cities and regions in the central part of the country.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
autobahn
ⓘ
motorway ⓘ |
| connects |
Bamberg
ⓘ
Coburg ⓘ Erlangen ⓘ Forchheim ⓘ Lichtenfels ⓘ Nuremberg ⓘ Suhl ⓘ |
| country | Germany ⓘ |
| hasAbbreviation |
A 73
ⓘ
linked to:
A73
|
| hasJunctionWith |
A3 motorway
ⓘ
A70 motorway ⓘ A71 motorway ⓘ |
| hasLanes | dual carriageway ⓘ |
| hasRouteType | Autobahn ⓘ |
| languageOfName | German ⓘ |
| locatedIn |
Bavaria
ⓘ
Germany ⓘ Thuringia ⓘ |
| maintainedBy |
Germany federal government
ⓘ
linked to:
Federal Government of Germany
|
| partOf | German autobahn network ⓘ |
| passesNear |
Nuremberg metropolitan region
ⓘ
Thuringian Forest ⓘ |
| roadNumber | A73 ⓘ |
| runsThrough |
Franconia
ⓘ
Middle Franconia ⓘ South Thuringia ⓘ Upper Franconia ⓘ |
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: A73 motorway Description of subject: The A73 motorway is a major German autobahn that runs through Bavaria and Thuringia, linking cities such as Nuremberg, Erlangen, Bamberg, and Suhl.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: A73 motorway