This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.

Example Input: The Wrestlers restaurant has received low ratings for their Japanese food. It is not a child-friendly restaurant, and cost more than £30.
Example Output: [['The Wrestlers', 'eatType', 'restaurant'], ['The Wrestlers', 'food', 'Japanese'], ['The Wrestlers', 'priceRange', 'more than £30'], ['The Wrestlers', 'customer rating', 'low'], ['The Wrestlers', 'familyFriendly', 'no']]

Example Input: The Golden Curry is a Fast food restaurant that is near The Bakers has a moderate price range and is not kid friendly
Example Output: [['The Golden Curry', 'eatType', 'restaurant'], ['The Golden Curry', 'food', 'Fast food'], ['The Golden Curry', 'priceRange', 'moderate'], ['The Golden Curry', 'familyFriendly', 'no'], ['The Golden Curry', 'near', 'The Bakers']]

Example Input: In North Lincolnshire UA, there were 1843 Live Births and 97.50% of the population is white.
Example Output:
[['2.12', 'LIVE_BIRTHS_2006', '1843'], ['North Lincolnshire UA', 'TFR_2006', '2.12'], ['North Lincolnshire UA', 'WHITES_AS_%_OF_POP.', '97.50%']]