Okęcie
E610242
Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Okęcie canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T6669527 — 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: Okęcie Context triple: [PZL Warszawa-Okęcie, headquartersLocation, Okęcie]
-
A.
Mokotów
Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
-
B.
Ujazdów
Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
-
C.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
D.
Maków Podhalański
Maków Podhalański is a small town in southern Poland, situated in the Lesser Poland Voivodeship and known as a local center in the mountainous Beskid region.
-
E.
Śródmieście
Śródmieście is the central downtown district of the Polish port city of Gdynia, known for its urban core, services, and seaside location.
- 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: Okęcie Target entity description: Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
-
A.
Mokotów
Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
-
B.
Ujazdów
Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
-
C.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
D.
Maków Podhalański
Maków Podhalański is a small town in southern Poland, situated in the Lesser Poland Voivodeship and known as a local center in the mountainous Beskid region.
-
E.
Śródmieście
Śródmieście is the central downtown district of the Polish port city of Gdynia, known for its urban core, services, and seaside location.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
district
ⓘ
neighborhood ⓘ |
| belongsTo | city of Warsaw NERFINISHED ⓘ |
| continent | Europe ⓘ |
| country | Poland ⓘ |
| formerNameOfAirport | Warsaw-Okęcie Airport NERFINISHED ⓘ |
| hasAirport | Warsaw Chopin Airport NERFINISHED ⓘ |
| hasCoordinateSystem | WGS84 ⓘ |
| hasEconomicSector |
aviation industry
ⓘ
logistics ⓘ services ⓘ |
| hasFacility |
air cargo facilities
ⓘ
airline offices ⓘ airport hotels ⓘ airport maintenance bases ⓘ |
| hasFunction |
employment center
ⓘ
transport hub ⓘ |
| hasLandUse |
industrial area
ⓘ
residential area ⓘ transport infrastructure ⓘ |
| hasNearbyDistrict |
Mokotów
NERFINISHED
ⓘ
Ochota NERFINISHED ⓘ Ursynów NERFINISHED ⓘ |
| hasPostalCodePrefix | 02 ⓘ |
| hasPublicTransport |
bus lines
ⓘ
rail link to city centre ⓘ |
| hasRoadConnection |
Aleja Krakowska
NERFINISHED
ⓘ
Aleja Żwirki i Wigury NERFINISHED ⓘ |
| hasTransportInfrastructure | international airport ⓘ |
| knownFor |
Warsaw Chopin Airport
NERFINISHED
ⓘ
aviation-related facilities ⓘ |
| languageOfName | Polish ⓘ |
| locatedIn | Warsaw ⓘ |
| locatedInAdministrativeUnit | Włochy district NERFINISHED ⓘ |
| locatedInVoivodeship | Masovian Voivodeship NERFINISHED ⓘ |
| partOf | Warsaw NERFINISHED ⓘ |
| partOfUrbanArea | Warsaw metropolitan area NERFINISHED ⓘ |
| timeZone | Central European Time ⓘ |
| timeZoneDST | Central European Summer Time NERFINISHED ⓘ |
| urbanType | inner suburb ⓘ |
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: Okęcie Description of subject: Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.