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: The Wrestlers is a Chinese restaurant with a high price range and customer rating of 1 out of 5. Not kid friendly.
Example Output: [['The Wrestlers', 'eatType', 'restaurant'], ['The Wrestlers', 'food', 'Chinese'], ['The Wrestlers', 'priceRange', 'high'], ['The Wrestlers', 'customer rating', '1 out of 5'], ['The Wrestlers', 'familyFriendly', 'no']]

Example Input: Near Café Rouge, in Riverside. Chinese food, The Golden Curry. Customer rating 3 out of 5.
Example Output: [['The Golden Curry', 'food', 'Chinese'], ['The Golden Curry', 'customer rating', '3 out of 5'], ['The Golden Curry', 'area', 'riverside'], ['The Golden Curry', 'near', 'Café Rouge']]

Example Input: There is an Indian coffee shop named The Cricketers that is near The Portland Arms and is family-friendly. Customer satisfaction is 5 out of 5.
Example Output:
[['The Cricketers', 'eatType', 'coffee shop'], ['The Cricketers', 'food', 'Indian'], ['The Cricketers', 'customer rating', '5 out of 5'], ['The Cricketers', 'familyFriendly', 'yes'], ['The Cricketers', 'near', 'The Portland Arms']]