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 Punter is located near Café Sicilia and offers low priced French food in a family friendly environment with low customer ratings.
Example Output: [['The Punter', 'food', 'French'], ['The Punter', 'priceRange', 'less than £20'], ['The Punter', 'customer rating', 'low'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]

Example Input: Fitzbillies is a coffee shop with low prices and a 5 out of 5 rating. It serves fast food and is not family-friendly.
Example Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Fast food'], ['Fitzbillies', 'priceRange', 'cheap'], ['Fitzbillies', 'customer rating', '5 out of 5'], ['Fitzbillies', 'familyFriendly', 'no']]

Example Input: In the city centre there is a low priced restaurant - The Waterman - which has been rated average by customers. It serves fast food, and it low priced.
Example Output:
[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Fast food'], ['The Waterman', 'priceRange', 'cheap'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'city centre']]