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 Strada is an expensive average fast food, not children friendly and located near the Rainbow Vegetarian Café.
Example Output: [['Strada', 'food', 'Fast food'], ['Strada', 'priceRange', 'high'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: The Phoenix is a cheap, five star restaurant by the river.
Example Output: [['The Phoenix', 'eatType', 'restaurant'], ['The Phoenix', 'priceRange', 'cheap'], ['The Phoenix', 'customer rating', '5 out of 5'], ['The Phoenix', 'area', 'riverside']]

Example Input: Barny Cakes originated in France (led by Manuel Valls).
Example Output:
[['Barny Cakes', 'COUNTRY', 'France'], ['France', 'LEADER_NAME', 'Manuel Valls']]