A27 motorway (Germany)
E808401
The A27 motorway in Germany is a major north–south autobahn connecting the cities of Bremen and Cuxhaven, serving as an important route along the North Sea coast.
All labels observed (1)
| Label | Occurrences |
|---|---|
| A27 motorway (Germany) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9464109 — 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: A27 motorway (Germany) Context triple: [A1 motorway (Germany), hasJunctionWith, A27 motorway (Germany)]
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A.
A7 motorway (Germany)
The A7 motorway in Germany is the country’s longest autobahn, running north–south from the Danish border to the Austrian border and serving as a major European transport corridor.
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B.
A4 motorway (Germany)
The A4 motorway in Germany is a major east–west autobahn connecting the Dutch border near Aachen through cities like Cologne and Dresden to the Polish border, serving as an important trans-European transport corridor.
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C.
A3 motorway (Germany)
The A3 motorway in Germany is a major east–west autobahn that runs from the Dutch border near Arnhem through cities like Oberhausen, Cologne, Frankfurt, and Nuremberg to the Austrian border near Passau.
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D.
A8 motorway (Germany)
The A8 motorway in Germany is a major east–west autobahn connecting the Luxembourg and French borders through cities like Saarbrücken, Karlsruhe, Stuttgart, Ulm, Augsburg, and Munich to the Austrian border near Salzburg.
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E.
A1 motorway (Germany)
The A1 motorway in Germany is a major north–south autobahn connecting the Baltic Sea port of Heiligenhafen with the Saarland region near the French border, serving key cities such as Lübeck, Hamburg, Bremen, and Cologne.
- 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: A27 motorway (Germany) Target entity description: The A27 motorway in Germany is a major north–south autobahn connecting the cities of Bremen and Cuxhaven, serving as an important route along the North Sea coast.
-
A.
A7 motorway (Germany)
The A7 motorway in Germany is the country’s longest autobahn, running north–south from the Danish border to the Austrian border and serving as a major European transport corridor.
-
B.
A4 motorway (Germany)
The A4 motorway in Germany is a major east–west autobahn connecting the Dutch border near Aachen through cities like Cologne and Dresden to the Polish border, serving as an important trans-European transport corridor.
-
C.
A3 motorway (Germany)
The A3 motorway in Germany is a major east–west autobahn that runs from the Dutch border near Arnhem through cities like Oberhausen, Cologne, Frankfurt, and Nuremberg to the Austrian border near Passau.
-
D.
A8 motorway (Germany)
The A8 motorway in Germany is a major east–west autobahn connecting the Luxembourg and French borders through cities like Saarbrücken, Karlsruhe, Stuttgart, Ulm, Augsburg, and Munich to the Austrian border near Salzburg.
-
E.
A1 motorway (Germany)
The A1 motorway in Germany is a major north–south autobahn connecting the Baltic Sea port of Heiligenhafen with the Saarland region near the French border, serving key cities such as Lübeck, Hamburg, Bremen, and Cologne.
- F. None of above. chosen
Statements (40)
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: A27 motorway (Germany) Description of subject: The A27 motorway in Germany is a major north–south autobahn connecting the cities of Bremen and Cuxhaven, serving as an important route along the North Sea coast.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.