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.

Ex Input:
Hebrew word אֲדֹנִיָּה is spelled as Adonijah in English

Ex Output:
[['[TABLECONTEXT]', '[TITLE]', 'Table of Theophoric names with Yah and Yahu suffixes'], ['[TABLECONTEXT]', 'HEBREW_WORD', 'אֲדֹנִיָּה'], ['אֲדֹנִיָּה', 'STRONGS_TRANSLITERATION', "'Adoniyah"], ["'Adoniyah", 'STRONGS_WORDS_COMPOUNDED', "'adown [# 113] & Yah"]]


Ex Input:
When looking for a high end, child friendly coffee shop, Zizzi is the place.  Customer rated 1 out of 5.

Ex Output:
[['Zizzi', 'eatType', 'coffee shop'], ['Zizzi', 'customer rating', '1 out of 5'], ['Zizzi', 'familyFriendly', 'yes']]


Ex Input:
The winning time in the year when the odds of the winner were 2.94 was 1:14.3.

Ex Output:

[['Queen L.', 'ODDS_OF_WINNER', '2.94'], ['Queen L.', 'WINNING_TIME_(KM_RATE)', '1:14.3']]