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: 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: A coffee shop named Fitzbillies is located  in the city centre. It is children friendly with a high price range and average customer rating.
Example Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'priceRange', 'moderate'], ['Fitzbillies', 'customer rating', 'average'], ['Fitzbillies', 'area', 'city centre'], ['Fitzbillies', 'familyFriendly', 'yes']]

Example Input: The Golden Curry near Café Rouge is a fast food family-friendly has an average customer rating. It is in the city centre area.
Example Output:
[['The Golden Curry', 'food', 'Fast food'], ['The Golden Curry', 'customer rating', 'average'], ['The Golden Curry', 'area', 'city centre'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]