MYEF
E889966
MYEF is the ICAO airport code for Exuma International Airport in the Bahamas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MYEF canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T10871679 — 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: MYEF Context triple: [Exuma International Airport, ICAOcode, MYEF]
-
A.
mye
mye is the ISO 639-3 language code for Myene, a Bantu language spoken primarily along the coast of Gabon.
-
B.
MYGF
MYGF is the ICAO airport code for Grand Bahama International Airport in Freeport, Bahamas.
-
C.
MYAF
MYAF is the ICAO airport code for Andros Town International Airport in Andros Island, Bahamas.
-
D.
MYTF1
MYTF1 is a French online streaming and catch-up TV platform offering TF1 Group’s channels and on-demand content.
-
E.
MYEH
MYEH is the ICAO airport code for North Eleuthera Airport in The Bahamas.
- 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: MYEF Target entity description: MYEF is the ICAO airport code for Exuma International Airport in the Bahamas.
-
A.
mye
mye is the ISO 639-3 language code for Myene, a Bantu language spoken primarily along the coast of Gabon.
-
B.
MYGF
MYGF is the ICAO airport code for Grand Bahama International Airport in Freeport, Bahamas.
-
C.
MYAF
MYAF is the ICAO airport code for Andros Town International Airport in Andros Island, Bahamas.
-
D.
MYTF1
MYTF1 is a French online streaming and catch-up TV platform offering TF1 Group’s channels and on-demand content.
-
E.
MYEH
MYEH is the ICAO airport code for North Eleuthera Airport in The Bahamas.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
ICAO airport code
ⓘ
airport ⓘ |
| hasAirportType | public ⓘ |
| hasIATACode | GGT ⓘ |
| hasICAOCode | MYEF ⓘ |
| hasRunwayOrientation | 12/30 ⓘ |
| hasRunwaySurface | asphalt ⓘ |
| ICAOCodeFor | Exuma International Airport ⓘ |
| locatedInArchipelago | Bahamas ⓘ |
| locatedInCountry | Bahamas ⓘ |
| locatedInRegion | Exuma ⓘ |
| locatedOnIsland |
Great Exuma
ⓘ
linked to:
Exuma
|
| servesCity | George Town, Great Exuma ⓘ |
| servesCountry | Bahamas ⓘ |
| servesRole | international airport ⓘ |
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: MYEF Description of subject: MYEF is the ICAO airport code for Exuma International Airport in the Bahamas.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.