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: Italian The Golden Curry is near Café Rouge.  It is kids friendly.  Customer rating is high.
Example Output: [['The Golden Curry', 'food', 'Italian'], ['The Golden Curry', 'customer rating', 'high'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]

Example Input: The Vaults sushi bar has low prices but is not suitable for a family.
Example Output: [['The Vaults', 'priceRange', 'less than £20']]

Example Input: There is a cheap, French restaurant called Bibimbap House that is located near Clare Hall in Riverside.
Example Output:
[['Bibimbap House', 'eatType', 'restaurant'], ['Bibimbap House', 'food', 'French'], ['Bibimbap House', 'priceRange', 'cheap'], ['Bibimbap House', 'area', 'riverside'], ['Bibimbap House', 'near', 'Clare Hall']]