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: Near the Ranch, Cotto serves Japanese food.  Their family friendly atmosphere has an average customer rating.
Example Output: [['Cotto', 'food', 'Japanese'], ['Cotto', 'customer rating', 'average'], ['Cotto', 'familyFriendly', 'yes'], ['Cotto', 'near', 'Ranch']]

Example Input: The Canadian Bernie Doan ended up joining the St. Louis Blues.
Example Output: [['Bernie Doan', 'NHL_TEAM', 'St. Louis Blues'], ['Bernie Doan', 'NATIONALITY', 'Canada']]

Example Input: Indian restaurant The Wrestlers is in the high price range and is not children friendly. It has an average customer rating.
Example Output:
[['The Wrestlers', 'eatType', 'restaurant'], ['The Wrestlers', 'food', 'Indian'], ['The Wrestlers', 'priceRange', 'high'], ['The Wrestlers', 'customer rating', 'average'], ['The Wrestlers', 'familyFriendly', 'no']]