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: In Riverside, The Golden Curry, near Café Rouge, is family friendly and serves English food and has an average customer rating.
Example Output: [['The Golden Curry', 'food', 'English'], ['The Golden Curry', 'customer rating', 'average'], ['The Golden Curry', 'area', 'riverside'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]

Example Input: Midsummer House is a Japanese restaurant near the Café Rouge but it has a low customer rating.
Example Output: [['Midsummer House', 'eatType', 'restaurant'], ['Midsummer House', 'food', 'Japanese'], ['Midsummer House', 'customer rating', 'low'], ['Midsummer House', 'near', 'Café Rouge']]

Example Input: The Waterman is a Chinese restaurant with a moderate price range near the city centre. It has a customer service rating of 1 out 5 and is not kid friendly.
Example Output:
[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Chinese'], ['The Waterman', 'priceRange', 'moderate'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'no']]