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: Bibimbap House is a fast food join in the city centre near The Rice Boat.
Example Output: [['Bibimbap House', 'food', 'Fast food'], ['Bibimbap House', 'area', 'city centre'], ['Bibimbap House', 'near', 'The Rice Boat']]

Example Input: Der Fremdenführer: Prologue and 3 acts premiered on 11 October 1902 at the Theater an der Wien in Vienna.
Example Output: [['Der Fremdenfuhrer', 'PREMIÈRE_DATE', '11 October 1902'], ['Der Fremdenfuhrer', 'PLACE,_THEATRE', 'Vienna, Theater an der Wien'], ['Der Fremdenfuhrer', 'SUB\xadDIVISIONS', 'Prologue and 3 acts']]

Example Input: Travellers Rest Beefeater is a moderately priced restaurant however, is not kid friendly.
Example Output:
[['Travellers Rest Beefeater', 'eatType', 'restaurant'], ['Travellers Rest Beefeater', 'priceRange', 'moderate'], ['Travellers Rest Beefeater', 'familyFriendly', 'no']]