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, Midsummer House serves Indian food and has a customer rating of 1 out of 5.
Example Output: [['Midsummer House', 'food', 'Indian'], ['Midsummer House', 'customer rating', '1 out of 5'], ['Midsummer House', 'near', 'Café Rouge']]

Example Input: Bionico is a food found in Mexico and its main ingredients are chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins. Bionico comes from the Jalisco region.
Example Output: [['Bionico', 'COUNTRY', 'Mexico'], ['Bionico', 'MAIN_INGREDIENTS', '"Chopped Fruits, Sour Cream, Condensed Milk, Granola, Shredded Coconut, Raisins"'], ['Bionico', 'REGION', 'Jalisco'], ['Bionico', 'INGREDIENT', 'Raisin']]

Example Input: Barny cakes, which were invented in 1999 can be served in 30g sizes and these contain 1.8g of protein, 18.0g of carbohydrates and 4.8g of fat.
Example Output:
[['Barny Cakes', 'PROTEIN', '1.8 g'], ['Barny Cakes', 'SERVING_SIZE', '30.0 g'], ['Barny Cakes', 'YEAR', '1999'], ['Barny Cakes', 'FAT', '4.8 g'], ['Barny Cakes', 'CARBOHYDRATE', '18.0 g']]