Segaon
E934113
Segaon is a small town located in the Khargone district of the Indian state of Madhya Pradesh.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Segaon canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11589254 — 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: Segaon Context triple: [Khargone district, containsTown, Segaon]
-
A.
Sugamo
Sugamo is a Tokyo neighborhood popularly known as the “Harajuku for old ladies,” famed for its Jizō-dōri shopping street and large elderly clientele.
-
B.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
C.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
D.
Tsutsumi
Tsutsumi is a Japanese surname associated with several notable figures in business, politics, and the arts in Japan.
-
E.
Oimachi
Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts 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: Segaon Target entity description: Segaon is a small town located in the Khargone district of the Indian state of Madhya Pradesh.
-
A.
Sugamo
Sugamo is a Tokyo neighborhood popularly known as the “Harajuku for old ladies,” famed for its Jizō-dōri shopping street and large elderly clientele.
-
B.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
C.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
D.
Tsutsumi
Tsutsumi is a Japanese surname associated with several notable figures in business, politics, and the arts in Japan.
-
E.
Oimachi
Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts of the city.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
human settlement
ⓘ
town ⓘ |
| continent | Asia ⓘ |
| country | India ⓘ |
| countrySubdivision | central India ⓘ |
| district | Khargone district ⓘ |
| geographicalClassification | rural town ⓘ |
| governingCountry |
Republic of India
ⓘ
linked to:
India
|
| hasAdministrativeDivision | Khargone district ⓘ |
| hasPostalAddressCountry | India ⓘ |
| localLanguage |
Hindi
ⓘ
Nimadi ⓘ |
| locatedIn |
India
ⓘ
Khargone district ⓘ Madhya Pradesh ⓘ |
| nearestMajorCity | Khargone ⓘ |
| officialLanguage | Hindi ⓘ |
| partOf |
Khargone district
ⓘ
Madhya Pradesh ⓘ Nimar region ⓘ
linked to:
Nimar
|
| populationScale | small town ⓘ |
| region | Madhya Pradesh ⓘ |
| state | Madhya Pradesh ⓘ |
| timeZone | Indian Standard Time ⓘ |
| UTCOffset | +05:30 ⓘ |
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: Segaon Description of subject: Segaon is a small town located in the Khargone district of the Indian state of Madhya Pradesh.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.