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 Golden Curry is a Fast food restaurant that is near The Bakers has a moderate price range and is not kid friendly
Example Output: [['The Golden Curry', 'eatType', 'restaurant'], ['The Golden Curry', 'food', 'Fast food'], ['The Golden Curry', 'priceRange', 'moderate'], ['The Golden Curry', 'familyFriendly', 'no'], ['The Golden Curry', 'near', 'The Bakers']]

Example Input: The fourth place was Petter Solberg with 5 points.
Example Output: [['Petter Solberg', 'POSITION', '4.'], ['Petter Solberg', 'POINTS', '5']]

Example Input: Fitzbillies is a coffee shop serving Indian food at a moderate price range. Its customer rating is three out of five, it is near the riverside and is kids friendly.
Example Output:
[['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Indian'], ['Fitzbillies', 'priceRange', 'moderate'], ['Fitzbillies', 'customer rating', '3 out of 5'], ['Fitzbillies', 'area', 'riverside'], ['Fitzbillies', 'familyFriendly', 'yes']]