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.

Input: Consider Input: The Phoenix is a restaurant serving cheap Fast food in the area of riverside.  It has an average customer rating.

Output: [['The Phoenix', 'eatType', 'restaurant'], ['The Phoenix', 'food', 'Fast food'], ['The Phoenix', 'priceRange', 'cheap'], ['The Phoenix', 'customer rating', 'average'], ['The Phoenix', 'area', 'riverside']]


Input: Consider Input: The Waterman serves English food and has a moderate price range. It is kid friendly. The customer Rating is 1 out of 5.

Output: [['The Waterman', 'food', 'English'], ['The Waterman', 'priceRange', 'moderate'], ['The Waterman', 'customer rating', '1 out of 5'], ['The Waterman', 'familyFriendly', 'yes']]


Input: Consider Input: Myc gene is an example of oncogenes classified as Transcription factors that relates to malignant T-cell lymphomas and acute myleoid leukemias, breast cancer, pancreatic cancer, retinoblastoma, and small cell lung cancer.


Output: [['[TABLECONTEXT]', 'CATEGORY', 'Transcription factors'], ['[TABLECONTEXT]', '[TITLE]', 'Oncogene'], ['Transcription factors', 'EXAMPLES', 'myc gene'], ['Transcription factors', 'CANCERS', 'malignant T-cell lymphomas and acute myleoid leukemias, breast cancer, pancreatic cancer, retinoblastoma, and small cell lung cancer']]