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 Phoenix sells English food on the riverside. It is rated 3 of 5 stars.
Example Output: [['The Phoenix', 'food', 'English'], ['The Phoenix', 'customer rating', 'average'], ['The Phoenix', 'area', 'riverside']]

Example Input: 668 units of a vehicle were produced in 1994–1998.
Example Output: [['2.8i v6 24v', 'PRODUCTION_PERIOD', '1994-1998'], ['2.8i v6 24v', 'UNITS_PRODUCED', '668']]

Example Input: Fitzbillies is an averagely priced, highly rated Italian coffee shop in the city centre which isn't kid friendly.
Example Output:
[['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Italian'], ['Fitzbillies', 'priceRange', '£20-25'], ['Fitzbillies', 'customer rating', 'high'], ['Fitzbillies', 'area', 'city centre'], ['Fitzbillies', 'familyFriendly', 'no']]