Peru, Maine
E168754
Peru, Maine is a small rural town in Oxford County known for its scenic western Maine landscape and close-knit community.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Peru, Maine canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T718803 — 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: Peru, Maine Context triple: [Rumford, Maine, adjacentTo, Peru, Maine]
-
A.
Strong, Maine
Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
-
B.
Maine
Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
-
C.
Maine
Maine is a historical region in northwestern France that played a significant role in the medieval power struggles between the English and French crowns.
-
D.
Norway, Maine
Norway, Maine is a small New England town known for its historic downtown, lakes and outdoor recreation, located in western Maine.
-
E.
Levant, Maine
Levant, Maine is a small rural town located in Penobscot County in central Maine, known for its agricultural character and close proximity to the city of Bangor.
- 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: Peru, Maine Target entity description: Peru, Maine is a small rural town in Oxford County known for its scenic western Maine landscape and close-knit community.
-
A.
Strong, Maine
Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
-
B.
Maine
Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
-
C.
Maine
Maine is a historical region in northwestern France that played a significant role in the medieval power struggles between the English and French crowns.
-
D.
Norway, Maine
Norway, Maine is a small New England town known for its historic downtown, lakes and outdoor recreation, located in western Maine.
-
E.
Levant, Maine
Levant, Maine is a small rural town located in Penobscot County in central Maine, known for its agricultural character and close proximity to the city of Bangor.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
municipality
ⓘ
town ⓘ |
| adjacentTo |
Canton, Maine
NERFINISHED
ⓘ
Hartford, Maine ⓘ Mexico, Maine ⓘ Rumford, Maine NERFINISHED ⓘ Sumner, Maine NERFINISHED ⓘ |
| areaCode | 207 ⓘ |
| climate | humid continental climate ⓘ |
| country | United States of America ⓘ |
| countryCode | US ⓘ |
| countrySubdivision | New England ⓘ |
| county | Oxford County, Maine ⓘ |
| economyType |
commuting to nearby towns
ⓘ
local services ⓘ |
| governmentType | New England town ⓘ |
| hasCharacteristic |
close-knit community
ⓘ
rural community ⓘ scenic landscape ⓘ |
| hasCommunityType | small town ⓘ |
| hasFeature |
forests
ⓘ
hills ⓘ lakes ⓘ streams ⓘ |
| hasLandUse |
forested land
ⓘ
residential areas ⓘ small-scale agriculture ⓘ |
| hasRecreation |
fishing
ⓘ
hiking ⓘ outdoor recreation ⓘ snowmobiling ⓘ |
| locatedIn |
Western Maine
ⓘ
linked to:
western Maine
|
| locatedNear | Androscoggin River ⓘ |
| namedAfter | Peru ⓘ |
| partOf |
Oxford County, Maine
ⓘ
State of Maine ⓘ
linked to:
Maine
|
| populationDensity | low population density ⓘ |
| postalCode | 04290 ⓘ |
| primaryLanguage | English ⓘ |
| region | Oxford Hills region ⓘ |
| state | Maine ⓘ |
| stateAbbreviation | ME ⓘ |
| timeZone | Eastern Time Zone ⓘ |
| timeZoneDST |
Eastern Daylight Time
ⓘ
linked to:
Eastern Time Zone
|
| transportationAccess |
Maine State Route 108
ⓘ
Maine State Route 4 ⓘ |
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: Peru, Maine Description of subject: Peru, Maine is a small rural town in Oxford County known for its scenic western Maine landscape and close-knit community.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.