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: Strada provides Indian food in the more than £30 price range. It is near Rainbow Vegetarian Café. Its customer rating is high.
Example Output: [['Strada', 'food', 'Indian'], ['Strada', 'priceRange', 'more than £30'], ['Strada', 'customer rating', 'high'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: Kevin Gall played in no league cup games for Yeovil Town in the 2002-03 season.
Example Output: [['2002-03', 'CLUB', 'Yeovil Town'], ['[TABLECONTEXT]', '[TITLE]', 'Kevin Gall'], ['[TABLECONTEXT]', 'SEASON', '2002-03']]

Example Input: There is a coffee shop named Wildwood, near Ranch. It serves Italian food at a moderate price. It has a customer rating of 3 out of 5.
Example Output:
[['Wildwood', 'eatType', 'coffee shop'], ['Wildwood', 'food', 'Italian'], ['Wildwood', 'priceRange', 'moderate'], ['Wildwood', 'customer rating', '3 out of 5'], ['Wildwood', 'near', 'Ranch']]