Keban
E398990
Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Keban canonical | 2 |
| Keban town | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3909052 — 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: Keban Context triple: [Keban Dam, nearestCity, Keban]
-
A.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
B.
Gölbaşı
Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
-
C.
Toprakkale
Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
-
D.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
E.
Akyurt
Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
- 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: Keban Target entity description: Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
-
A.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
B.
Gölbaşı
Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
-
C.
Toprakkale
Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
-
D.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
E.
Akyurt
Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf | town ⓘ |
| administrativeType | district center ⓘ |
| climate | continental climate ⓘ |
| country | Turkey ⓘ |
| countryCode | TR ⓘ |
| countrySubdivision | Eastern Turkey ⓘ |
| elevationCategory | highland town ⓘ |
| energyRegion | major hydroelectric production area of Turkey ⓘ |
| hasEconomicActivity |
fishing on Euphrates
ⓘ
services related to dam operations ⓘ small-scale agriculture ⓘ |
| hasHydroelectricFacilityNearby | Keban Dam ⓘ |
| hasNearbyReservoir |
Keban Dam Reservoir
ⓘ
linked to:
Keban Dam
|
| hasPostalCode | 23700 ⓘ |
| hydrologicalBasin |
Euphrates Basin
ⓘ
linked to:
Euphrates
|
| knownFor |
hydroelectric power infrastructure nearby
ⓘ
proximity to Keban Dam ⓘ |
| languageMajority | Turkish ⓘ |
| locatedIn | Elazığ Province ⓘ |
| locatedInRegion | Eastern Anatolia ⓘ |
| locatedOnRiver |
Euphrates River
ⓘ
linked to:
Euphrates
|
| locatedWestOf |
Elazığ city
ⓘ
linked to:
Elazığ
|
| near | Keban Dam ⓘ |
| partOf | Keban District ⓘ |
| timeZone | TRT ⓘ |
| transportConnection | regional roads to Elazığ ⓘ |
| utcOffset | +3 ⓘ |
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: Keban Description of subject: Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Keban