Hojambaz
E1033056
Hojambaz is a town located in the Lebap Region of eastern Turkmenistan, near the border with Uzbekistan.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Hojambaz canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13293013 — 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: Hojambaz Context triple: [Lebap Region, containsTown, Hojambaz]
-
A.
Hajong
The Hajong are an indigenous ethnic group of northeastern India and neighboring Bangladesh, known for their Tibeto-Burman origins, agrarian lifestyle, and distinct language and cultural traditions.
-
B.
Bulhon
Bulhon is a small commune in central France’s Puy-de-Dôme department, situated within the Thiers arrondissement.
-
C.
Haenam
Haenam is a coastal county in South Jeolla Province, South Korea, known for being the country's southernmost mainland point and for its scenic agricultural landscapes.
-
D.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
E.
Jemgum
Jemgum is a small municipality in the East Frisian region of Lower Saxony in northwestern Germany, known for its rural landscape along the Ems River.
- 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: Hojambaz Target entity description: Hojambaz is a town located in the Lebap Region of eastern Turkmenistan, near the border with Uzbekistan.
-
A.
Hajong
The Hajong are an indigenous ethnic group of northeastern India and neighboring Bangladesh, known for their Tibeto-Burman origins, agrarian lifestyle, and distinct language and cultural traditions.
-
B.
Bulhon
Bulhon is a small commune in central France’s Puy-de-Dôme department, situated within the Thiers arrondissement.
-
C.
Haenam
Haenam is a coastal county in South Jeolla Province, South Korea, known for being the country's southernmost mainland point and for its scenic agricultural landscapes.
-
D.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
E.
Jemgum
Jemgum is a small municipality in the East Frisian region of Lower Saxony in northwestern Germany, known for its rural landscape along the Ems River.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf | town ⓘ |
| borderingCountryNearby | Uzbekistan NERFINISHED ⓘ |
| continent | Asia ⓘ |
| country | Turkmenistan ⓘ |
| locatedIn |
Lebap Region
NERFINISHED
ⓘ
eastern Turkmenistan NERFINISHED ⓘ |
| locatedNear | border with Uzbekistan ⓘ |
| partOf |
Lebap Region
NERFINISHED
ⓘ
Turkmenistan NERFINISHED ⓘ |
| region | Lebap Region NERFINISHED ⓘ |
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: Hojambaz Description of subject: Hojambaz is a town located in the Lebap Region of eastern Turkmenistan, near the border with Uzbekistan.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.