Opa-locka Executive Airport
E571127
Opa-locka Executive Airport is a public general aviation and business aviation airport serving the Miami metropolitan area in Miami-Dade County, Florida.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Opa-locka Executive Airport canonical | 5 |
| Opa-locka Airport | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T6110220 — 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: Opa-locka Executive Airport Context triple: [Miami-Dade Aviation Department, operates, Opa-locka Executive Airport]
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A.
Fort Lauderdale Executive Airport
Fort Lauderdale Executive Airport is a general aviation airport in Fort Lauderdale, Florida, serving private, corporate, and charter aircraft apart from the city’s main commercial airport.
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B.
Fort Lauderdale–Hollywood International Airport
Fort Lauderdale–Hollywood International Airport is a major commercial airport in South Florida serving the Fort Lauderdale and Hollywood areas as a key hub for domestic and international travel.
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C.
Palm Beach International Airport
Palm Beach International Airport is a major commercial airport serving the Palm Beach County area of South Florida, offering domestic and limited international flights.
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D.
Sarasota–Bradenton International Airport
Sarasota–Bradenton International Airport is a commercial airport serving the Sarasota and Bradenton region on Florida’s Gulf Coast, providing domestic and limited international flights for the greater Tampa Bay area.
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E.
Punta Gorda Airport
Punta Gorda Airport is a public airport in southwest Florida that primarily serves low-cost and regional air traffic for the Punta Gorda and Port Charlotte area.
- 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: Opa-locka Executive Airport Target entity description: Opa-locka Executive Airport is a public general aviation and business aviation airport serving the Miami metropolitan area in Miami-Dade County, Florida.
-
A.
Fort Lauderdale Executive Airport
Fort Lauderdale Executive Airport is a general aviation airport in Fort Lauderdale, Florida, serving private, corporate, and charter aircraft apart from the city’s main commercial airport.
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B.
Fort Lauderdale–Hollywood International Airport
Fort Lauderdale–Hollywood International Airport is a major commercial airport in South Florida serving the Fort Lauderdale and Hollywood areas as a key hub for domestic and international travel.
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C.
Palm Beach International Airport
Palm Beach International Airport is a major commercial airport serving the Palm Beach County area of South Florida, offering domestic and limited international flights.
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D.
Sarasota–Bradenton International Airport
Sarasota–Bradenton International Airport is a commercial airport serving the Sarasota and Bradenton region on Florida’s Gulf Coast, providing domestic and limited international flights for the greater Tampa Bay area.
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E.
Punta Gorda Airport
Punta Gorda Airport is a public airport in southwest Florida that primarily serves low-cost and regional air traffic for the Punta Gorda and Port Charlotte area.
- 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: Opa-locka Executive Airport Description of subject: Opa-locka Executive Airport is a public general aviation and business aviation airport serving the Miami metropolitan area in Miami-Dade County, Florida.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Opa-locka Executive Airport
linked to: Opa-locka Executive Airport