Akola district
E652014
Akola district is an administrative district in the Vidarbha region of Maharashtra, India, known for its cotton-producing agriculture and the city of Akola as its headquarters.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Akola district canonical | 4 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf | district ⓘ |
| administrativeHeadquarters | Akola city NERFINISHED ⓘ |
| borderedBy |
Amravati district
NERFINISHED
ⓘ
Buldhana district NERFINISHED ⓘ Khandesh region of Maharashtra NERFINISHED ⓘ Washim district NERFINISHED ⓘ |
| cashCrop |
cotton
ⓘ
soybean ⓘ |
| climate | tropical savanna climate ⓘ |
| containsProtectedArea | Katepurna Wildlife Sanctuary NERFINISHED ⓘ |
| country | India ⓘ |
| division | Amravati division NERFINISHED ⓘ |
| hasCity | Akola NERFINISHED ⓘ |
| hasLokSabhaConstituency | Akola Lok Sabha constituency NERFINISHED ⓘ |
| hasMunicipalCorporation | Akola Municipal Corporation NERFINISHED ⓘ |
| hasRailwayJunction | Murtijapur Junction NERFINISHED ⓘ |
| hasRailwayStation | Akola Junction NERFINISHED ⓘ |
| hasTown |
Akot
NERFINISHED
ⓘ
Balapur NERFINISHED ⓘ Murtijapur NERFINISHED ⓘ Patur NERFINISHED ⓘ Telhara NERFINISHED ⓘ |
| hasVidhanSabhaConstituency |
Akola East
NERFINISHED
ⓘ
Akola West NERFINISHED ⓘ |
| headquarters | Akola NERFINISHED ⓘ |
| knownFor |
agriculture
ⓘ
cotton production ⓘ |
| language |
Marathi language
ⓘ
surface form:
Marathi
|
| locatedIn |
India
ⓘ
central Maharashtra ⓘ western Vidarbha NERFINISHED ⓘ |
| majorCrop |
cotton
ⓘ
jowar ⓘ soybean ⓘ tur ⓘ |
| officialLanguage | Marathi NERFINISHED ⓘ |
| partOf | Maharashtra state NERFINISHED ⓘ |
| primaryEconomicActivity | agriculture ⓘ |
| region | Vidarbha NERFINISHED ⓘ |
| river |
Katepurna River
NERFINISHED
ⓘ
Morna River NERFINISHED ⓘ Purna River NERFINISHED ⓘ Vaan River NERFINISHED ⓘ |
| state | Maharashtra ⓘ |
| timeZone | Indian Standard Time ⓘ |
| utcOffset | +05:30 ⓘ |
| vehicleRegistrationCode | MH-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: Akola district Description of subject: Akola district is an administrative district in the Vidarbha region of Maharashtra, India, known for its cotton-producing agriculture and the city of Akola as its headquarters.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Buldhana district