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 location of Afonso Pena International airport is Sao Jose dos Pinhais and it is located 911.0 metres above sea level. The runway name is 11/29 and it has a length of 1800.0.
Example Output: [['Afonso Pena International Airport', 'LOCATION', 'São José dos Pinhais'], ['Afonso Pena International Airport', 'ELEVATION', '911.0'], ['Afonso Pena International Airport', 'RUNWAY_NAME', '"11/29"'], ['Afonso Pena International Airport', 'RUNWAY_LENGTH', '1800.0']]

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: German submarine U-9 name is Doris Nationality French Navy tonnage 552 fate sunk
Example Output:
[['Doris', 'TONNAGE_(GRT)', '552'], ['Doris', 'NATIONALITY', 'French Navy'], ['Doris', 'FATE', 'Sunk']]