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: It is not a family-friendly place, but Alimentum, in City centre,  has English food with low pricing.
Example Output: [['Alimentum', 'food', 'English'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'familyFriendly', 'no']]

Example Input: A French coffee shop with 3 out of 5 ratings is Clowns near Clare Hall in the riverside area.
Example Output: [['Clowns', 'eatType', 'coffee shop'], ['Clowns', 'food', 'French'], ['Clowns', 'customer rating', '3 out of 5'], ['Clowns', 'area', 'riverside'], ['Clowns', 'near', 'Clare Hall']]

Example Input: There is a moderately priced place in city centre named Blue Spice.
Example Output:
[['Blue Spice', 'priceRange', 'moderate'], ['Blue Spice', 'area', 'city centre']]