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: Hebrew word אֲדֹנִיָּה is spelled as Adonijah in English

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"]]


Input: Consider Input: Wildwood is a pub offering cheap fast food with an average customer rating.

Output: [['Wildwood', 'eatType', 'pub'], ['Wildwood', 'food', 'Fast food'], ['Wildwood', 'priceRange', 'cheap'], ['Wildwood', 'customer rating', 'average']]


Input: Consider Input: Yes, there is a Fast food called Strada in front of Rainbow Vegetarian Café, it's cheap and has a qualification of 5 out of 5.


Output: [['Strada', 'food', 'Fast food'], ['Strada', 'priceRange', 'cheap'], ['Strada', 'customer rating', '5 out of 5'], ['Strada', 'near', 'Rainbow Vegetarian Café']]


