St. Stephen–Calais cross-border area
E136165
The St. Stephen–Calais cross-border area is a closely linked pair of towns in New Brunswick, Canada and Maine, United States, serving as an important international crossing and local economic and social hub along the Canada–U.S. border.
All labels observed (1)
| Label | Occurrences |
|---|---|
| St. Stephen–Calais cross-border area canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1189116 — 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: St. Stephen–Calais cross-border area Context triple: [Canada–United States border region, hasPart, St. Stephen–Calais cross-border area]
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A.
Van Buren–Saint-Léonard Border Crossing
The Van Buren–Saint-Léonard Border Crossing is an international crossing over the Saint John River connecting Van Buren, Maine, in the United States with Saint-Léonard, New Brunswick, in Canada.
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B.
Dorneck-Thierstein region
The Dorneck-Thierstein region is an administrative and geographical area in the canton of Solothurn in northwestern Switzerland, known for its rural landscapes, historic castles, and proximity to the Jura mountains.
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C.
Limestone–Grand-Sault Border Crossing
The Limestone–Grand-Sault Border Crossing is an international crossing point between the United States and Canada connecting Limestone, Maine, with Grand Falls, New Brunswick.
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D.
Lothian
Lothian is a historic region in southeastern Scotland that encompasses the capital city of Edinburgh and its surrounding areas.
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E.
Savoy
Savoy was a historically significant duchy and later kingdom in Western Europe, centered in the Alpine region between France and Italy, that played a key role in European power politics and the unification of Italy.
- 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: St. Stephen–Calais cross-border area Target entity description: The St. Stephen–Calais cross-border area is a closely linked pair of towns in New Brunswick, Canada and Maine, United States, serving as an important international crossing and local economic and social hub along the Canada–U.S. border.
-
A.
Van Buren–Saint-Léonard Border Crossing
The Van Buren–Saint-Léonard Border Crossing is an international crossing over the Saint John River connecting Van Buren, Maine, in the United States with Saint-Léonard, New Brunswick, in Canada.
-
B.
Dorneck-Thierstein region
The Dorneck-Thierstein region is an administrative and geographical area in the canton of Solothurn in northwestern Switzerland, known for its rural landscapes, historic castles, and proximity to the Jura mountains.
-
C.
Limestone–Grand-Sault Border Crossing
The Limestone–Grand-Sault Border Crossing is an international crossing point between the United States and Canada connecting Limestone, Maine, with Grand Falls, New Brunswick.
-
D.
Lothian
Lothian is a historic region in southeastern Scotland that encompasses the capital city of Edinburgh and its surrounding areas.
-
E.
Savoy
Savoy was a historically significant duchy and later kingdom in Western Europe, centered in the Alpine region between France and Italy, that played a key role in European power politics and the unification of Italy.
- F. None of above. chosen
Statements (45)
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: St. Stephen–Calais cross-border area Description of subject: The St. Stephen–Calais cross-border area is a closely linked pair of towns in New Brunswick, Canada and Maine, United States, serving as an important international crossing and local economic and social hub along the Canada–U.S. border.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.