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: Browns Cambridge is a adults only Indian coffee shop in the riverside area. Located near Crowne Plaza Hotel. The customer rating is low.
Example Output: [['Browns Cambridge', 'eatType', 'coffee shop'], ['Browns Cambridge', 'food', 'Indian'], ['Browns Cambridge', 'customer rating', 'low'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'familyFriendly', 'no'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']]

Example Input: Alimentum is a five star, high priced place to eat.  Its location is right off of the river near Yippee Noodle Bar.
Example Output: [['Alimentum', 'priceRange', 'more than £30'], ['Alimentum', 'customer rating', 'high'], ['Alimentum', 'near', 'Yippee Noodle Bar']]

Example Input: Strada, with a customer rate of 3 out of 5 is a high priced restaurant.  It is not child friendly.
Example Output:
[['Strada', 'eatType', 'restaurant'], ['Strada', 'priceRange', 'high'], ['Strada', 'customer rating', '3 out of 5'], ['Strada', 'familyFriendly', 'no']]