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: Near Café Rouge is The Plough, a moderately-priced English restaurant.  It is not child friendly.
Example Output: [['The Plough', 'eatType', 'restaurant'], ['The Plough', 'food', 'English'], ['The Plough', 'priceRange', 'moderate'], ['The Plough', 'familyFriendly', 'no'], ['The Plough', 'near', 'Café Rouge']]

Example Input: A coffee shop in Riverside called The Golden Palace serves Indian food and  provides moderate pricing but has only a 1 out of 5 customer rating.
Example Output: [['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'Indian'], ['The Golden Palace', 'customer rating', '1 out of 5'], ['The Golden Palace', 'area', 'riverside']]

Example Input: With cheap pricing, fast food restaurant The Golden Palace has an average customer review and is located near a coffee shop in city centre.
Example Output:
[['The Golden Palace', 'eatType', 'restaurant'], ['The Golden Palace', 'food', 'Fast food'], ['The Golden Palace', 'priceRange', 'cheap'], ['The Golden Palace', 'customer rating', 'average'], ['The Golden Palace', 'area', 'city centre']]