ME 27
E215982
ME 27 is a state highway in Maine that runs north–south, connecting coastal and central regions with the Canadian border.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ME 27 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1940412 — 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: ME 27 Context triple: [Maine State Route 27, abbreviation, ME 27]
-
A.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
B.
MF 77
MF 77 is a steel-wheeled electric multiple unit train used on several lines of the Paris Métro, introduced in the late 1970s to modernize the network’s rolling stock.
-
C.
ME 100
ME 100 is a state highway in Maine that serves as a major north–south route connecting several communities and providing an alternative to Interstate 95.
-
D.
E-27
E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
-
E.
M-72
M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
- 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: ME 27 Target entity description: ME 27 is a state highway in Maine that runs north–south, connecting coastal and central regions with the Canadian border.
-
A.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
B.
MF 77
MF 77 is a steel-wheeled electric multiple unit train used on several lines of the Paris Métro, introduced in the late 1970s to modernize the network’s rolling stock.
-
C.
ME 100
ME 100 is a state highway in Maine that serves as a major north–south route connecting several communities and providing an alternative to Interstate 95.
-
D.
E-27
E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
-
E.
M-72
M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
- F. None of above. chosen
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
numbered route
ⓘ
state highway ⓘ |
| access | motor vehicles ⓘ |
| connectsRegion |
central Maine
ⓘ
coastal Maine ⓘ |
| connectsTo | Canadian border ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| directionA | south ⓘ |
| directionB | north ⓘ |
| highwaySystem |
Maine State Route System
ⓘ
linked to:
Maine State Route system
|
| locatedIn | Maine ⓘ |
| orientation | north–south ⓘ |
| partOf |
Maine state highway network
ⓘ
linked to:
Maine State Route system
|
| roadType | paved highway ⓘ |
| routeNumber | 27 ⓘ |
| state | Maine ⓘ |
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: ME 27 Description of subject: ME 27 is a state highway in Maine that runs north–south, connecting coastal and central regions with the Canadian border.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.