Tika Ram Jully
E918331
Tika Ram Jully is an Indian politician from Rajasthan who has served in key leadership roles in the state's legislative politics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tika Ram Jully canonical | 2 |
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
Indian politician
ⓘ
human ⓘ |
| continent | Asia ⓘ |
| countryOfCitizenship | India ⓘ |
| languageSpoken | Hindi ⓘ |
| memberOfPoliticalParty | Indian National Congress NERFINISHED ⓘ |
| notableFor | leadership roles in Rajasthan state politics ⓘ |
| occupation | politician ⓘ |
| positionHeld |
Cabinet minister in the Government of Rajasthan
ⓘ
Member of the Rajasthan Legislative Assembly ⓘ Minister of Labour, Rajasthan ⓘ Minister of Social Justice and Empowerment, Rajasthan NERFINISHED ⓘ |
| residence | Rajasthan, India NERFINISHED ⓘ |
| stateRepresented | Rajasthan 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: Tika Ram Jully Description of subject: Tika Ram Jully is an Indian politician from Rajasthan who has served in key leadership roles in the state's legislative politics.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.