Monroe, Connecticut
E269366
Monroe, Connecticut is a suburban New England town in southwestern Connecticut known for its residential character, good schools, and location within commuting distance of New York City.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Monroe, Connecticut canonical | 33 |
| Monroe, Connecticut, United States | 8 |
| Occult museum in Monroe, Connecticut | 1 |
| town of Monroe, Connecticut | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1059440 — 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: Monroe, Connecticut Context triple: [Fairfield County, Connecticut, containsTown, Monroe, Connecticut]
-
A.
New London, Connecticut
New London, Connecticut is a historic coastal city on the Thames River known for its deep-water port, maritime heritage, and role in the American Revolutionary era.
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B.
New Haven, Connecticut
New Haven, Connecticut is a historic coastal city in southern New England best known as the home of Yale University and a major center of education, culture, and research.
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C.
Fairfield, Connecticut
Fairfield, Connecticut is a coastal town in Fairfield County, known as an affluent suburban community along Long Island Sound in southwestern Connecticut.
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D.
Georgetown, Connecticut
Georgetown, Connecticut is a small New England village known for its historic mill roots and shared location at the junction of several Fairfield County towns.
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E.
Danbury, Connecticut
Danbury, Connecticut is a city in western Connecticut known historically for its hat-making industry and as a regional commercial and cultural center.
- 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: Monroe, Connecticut Target entity description: Monroe, Connecticut is a suburban New England town in southwestern Connecticut known for its residential character, good schools, and location within commuting distance of New York City.
-
A.
New London, Connecticut
New London, Connecticut is a historic coastal city on the Thames River known for its deep-water port, maritime heritage, and role in the American Revolutionary era.
-
B.
New Haven, Connecticut
New Haven, Connecticut is a historic coastal city in southern New England best known as the home of Yale University and a major center of education, culture, and research.
-
C.
Fairfield, Connecticut
Fairfield, Connecticut is a coastal town in Fairfield County, known as an affluent suburban community along Long Island Sound in southwestern Connecticut.
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D.
Georgetown, Connecticut
Georgetown, Connecticut is a small New England village known for its historic mill roots and shared location at the junction of several Fairfield County towns.
-
E.
Danbury, Connecticut
Danbury, Connecticut is a city in western Connecticut known historically for its hat-making industry and as a regional commercial and cultural center.
- 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: Monroe, Connecticut Description of subject: Monroe, Connecticut is a suburban New England town in southwestern Connecticut known for its residential character, good schools, and location within commuting distance of New York City.
Referenced by (43)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Route 59
linked to: Monroe, Connecticut
linked to: Monroe, Connecticut
linked to: Monroe, Connecticut
linked to: Monroe, Connecticut
linked to: Monroe, Connecticut
linked to: Monroe, Connecticut
subject linked to:
Ed and Lorraine Warren
linked to: Monroe, Connecticut
subject linked to:
Ed and Lorraine Warren
linked to: Monroe, Connecticut
linked to: Monroe, Connecticut
linked to: Monroe, Connecticut