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 12th rank is Semi-Tough from studio United Artists with the gross amount $37,187,139.
Example Output: [['Semi-Tough', 'RANK', '12.'], ['Semi-Tough', 'STUDIO', 'United Artists'], ['12.', 'GROSS', '$37,187,139']]

Example Input: Strada is and Indian restaurant near the Rainbow Vegetarian Café with a moderate price range. It has a customer rating of 1 out of 5 and if kid friendly.
Example Output: [['Strada', 'eatType', 'restaurant'], ['Strada', 'food', 'Indian'], ['Strada', 'priceRange', 'moderate'], ['Strada', 'customer rating', '1 out of 5'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: Midsummer House is an Italian restaurant located near Café Rouge. It has received average reviews.
Example Output:
[['Midsummer House', 'eatType', 'restaurant'], ['Midsummer House', 'food', 'Italian'], ['Midsummer House', 'customer rating', 'average'], ['Midsummer House', 'near', 'Café Rouge']]