Daejeo Depot
E197856
Daejeo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Daejeo Depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1710908 — 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: Daejeo Depot Context triple: [Busan Metro, hasDepot, Daejeo Depot]
-
A.
Jangsan Depot
Jangsan Depot is a maintenance and storage facility serving trains on the Busan Metro system in Busan, South Korea.
-
B.
Daejeon Station
Daejeon Station is a major railway hub in central South Korea, serving high-speed KTX trains and connecting Daejeon to key cities nationwide.
-
C.
Nampo Station
Nampo Station is a major subway station and commercial hub in central Busan, South Korea, known for its proximity to popular shopping streets and tourist attractions.
-
D.
Beomeosa Station
Beomeosa Station is a subway station in Busan, South Korea, serving as a key access point to the nearby Beomeosa Temple and surrounding Geumjeong District area.
-
E.
Sasang Station
Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
- 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: Daejeo Depot Target entity description: Daejeo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
-
A.
Jangsan Depot
Jangsan Depot is a maintenance and storage facility serving trains on the Busan Metro system in Busan, South Korea.
-
B.
Daejeon Station
Daejeon Station is a major railway hub in central South Korea, serving high-speed KTX trains and connecting Daejeon to key cities nationwide.
-
C.
Nampo Station
Nampo Station is a major subway station and commercial hub in central Busan, South Korea, known for its proximity to popular shopping streets and tourist attractions.
-
D.
Beomeosa Station
Beomeosa Station is a subway station in Busan, South Korea, serving as a key access point to the nearby Beomeosa Temple and surrounding Geumjeong District area.
-
E.
Sasang Station
Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
maintenance facility
ⓘ
metro depot ⓘ railway depot ⓘ |
| continent | Asia ⓘ |
| country | South Korea ⓘ |
| function |
maintenance of metro rolling stock
ⓘ
storage of metro trains ⓘ |
| locatedIn | Busan ⓘ |
| locatedInAdministrativeTerritory | Busan Metropolitan City NERFINISHED ⓘ |
| partOf |
Busan Metro
ⓘ
surface form:
Busan Metro system
|
| railwaySystem | Busan Metro ⓘ |
| serves | Busan Metro ⓘ |
| usedFor |
inspection of trains
ⓘ
repair of trains ⓘ stabling of trains ⓘ |
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: Daejeo Depot Description of subject: Daejeo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.