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: There is a friendly for family place called The Golden Curry which provides English breakfast in the city centre near to Café Rouge with customer rating 3 out of 5.
Example Output: [['The Golden Curry', 'food', 'English'], ['The Golden Curry', 'customer rating', 'average'], ['The Golden Curry', 'area', 'city centre'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]

Example Input: Cocum is a Japanese coffee shop that is non child friendly with a high price range and a customer rating of 3 out of 5.
Example Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Japanese'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', '3 out of 5'], ['Cocum', 'familyFriendly', 'no']]

Example Input: The Mill is a pub serving Chinese food at a moderate price in city center.
Example Output:
[['The Mill', 'eatType', 'pub'], ['The Mill', 'food', 'Chinese'], ['The Mill', 'priceRange', 'moderate'], ['The Mill', 'area', 'city centre']]