Kholodna Hora depot
E765652
Kholodna Hora depot is a maintenance and storage facility serving the Kharkiv Metro system in Kharkiv, Ukraine.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Kholodna Hora depot canonical | 1 |
| Oleksiivske depot | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8907987 — 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: Kholodna Hora depot Context triple: [Kharkiv Metro, hasDepot, Kholodna Hora depot]
-
A.
Vykhino depot
Vykhino depot is a maintenance and storage facility serving trains of the Tagansko–Krasnopresnenskaya Line of the Moscow Metro.
-
B.
Zavod Barrikady station
Zavod Barrikady station is a stop on the Volgograd Metrotram system in Volgograd, Russia, serving the industrial area around the historic Barrikady factory.
-
C.
Zavod Krasny Oktyabr station
Zavod Krasny Oktyabr station is a tram-station stop on the Volgograd Metrotram system serving the industrial area around the historic Krasny Oktyabr (Red October) factory in Volgograd, Russia.
-
D.
Traktorozavodskaya station
Traktorozavodskaya station is a stop on Volgograd’s Metrotram system serving the industrial Traktorozavodsky district of the city.
-
E.
Olkhovaya station
Olkhovaya station is a station on the Sokolnicheskaya Line of the Moscow Metro, serving passengers in the southeastern part of the city.
- 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: Kholodna Hora depot Target entity description: Kholodna Hora depot is a maintenance and storage facility serving the Kharkiv Metro system in Kharkiv, Ukraine.
-
A.
Vykhino depot
Vykhino depot is a maintenance and storage facility serving trains of the Tagansko–Krasnopresnenskaya Line of the Moscow Metro.
-
B.
Zavod Barrikady station
Zavod Barrikady station is a stop on the Volgograd Metrotram system in Volgograd, Russia, serving the industrial area around the historic Barrikady factory.
-
C.
Zavod Krasny Oktyabr station
Zavod Krasny Oktyabr station is a tram-station stop on the Volgograd Metrotram system serving the industrial area around the historic Krasny Oktyabr (Red October) factory in Volgograd, Russia.
-
D.
Traktorozavodskaya station
Traktorozavodskaya station is a stop on Volgograd’s Metrotram system serving the industrial Traktorozavodsky district of the city.
-
E.
Olkhovaya station
Olkhovaya station is a station on the Sokolnicheskaya Line of the Moscow Metro, serving passengers in the southeastern part of the city.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
metro depot
ⓘ
railway depot ⓘ transport infrastructure facility ⓘ |
| cityServed | Kharkiv NERFINISHED ⓘ |
| country | Ukraine ⓘ |
| function |
maintenance facility
ⓘ
rolling stock storage ⓘ |
| hasLanguageOfLocation |
Russian
ⓘ
Ukrainian ⓘ |
| locatedIn |
Kharkiv
NERFINISHED
ⓘ
Kharkiv Oblast NERFINISHED ⓘ Ukraine NERFINISHED ⓘ |
| locatedInContinent | Europe ⓘ |
| network | Kharkiv Metro network NERFINISHED ⓘ |
| partOf | Kharkiv Metro system NERFINISHED ⓘ |
| railwayTypeServed | metro ⓘ |
| serves | Kharkiv Metro NERFINISHED ⓘ |
| serviceArea | urban rail transit ⓘ |
| usedFor |
metro train maintenance
ⓘ
metro train stabling ⓘ |
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: Kholodna Hora depot Description of subject: Kholodna Hora depot is a maintenance and storage facility serving the Kharkiv Metro system in Kharkiv, Ukraine.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Oleksiivske depot