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, 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: Near Rainbow Vegetarian Café and children friendly for Chinese food, the only thing coming to mind is Strada where the prices are high and ratings are 1 out of 5.
Example Output: [['Strada', 'food', 'Chinese'], ['Strada', 'priceRange', 'high'], ['Strada', 'customer rating', '5 out of 5'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: The Cambridge Blue is a pub located near Café Brazil. It offers Chinese food in the range of £20-£25.
Example Output:
[['The Cambridge Blue', 'eatType', 'pub'], ['The Cambridge Blue', 'food', 'Chinese'], ['The Cambridge Blue', 'near', 'Café Brazil']]