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: Wildwood is a coffee shop near Ranch. Serving Italian food that is priced low, it scores 5 out of 5 in customer ratings.

Output: [['Wildwood', 'eatType', 'coffee shop'], ['Wildwood', 'food', 'Italian'], ['Wildwood', 'customer rating', '5 out of 5'], ['Wildwood', 'near', 'Ranch']]


Input: Consider Input: Serving the city of Abilene in Texas, Abilene Regional Airport is 546 metres above sea level and has a runway length of 1,121 metres.

Output: [['Abilene Regional Airport', 'CITY_SERVED', 'Abilene, Texas'], ['Abilene Regional Airport', 'ELEVATION', '546'], ['Abilene Regional Airport', 'RUNWAY_LENGTH', '1121.0']]


Input: Consider Input: In a New Jersey poll conducted by Rutgers-Eagleton in 2014, 64% surveyed showed their support for same-sex marriage.


Output: [['March 2014', 'POLLING_FIRM', 'Rutgers-Eagleton'], ['Rutgers-Eagleton', 'FAVOR', '64'], ['[TABLECONTEXT]', '[TITLE]', 'Same-sex marriage in New Jersey'], ['[TABLECONTEXT]', 'MONTH', 'March 2014']]