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: In the city centre is the English restaurant Alimentum. With a cheap price range and average customer rating, it is located near Yippee Noodle Bar.

Output: [['Alimentum', 'eatType', 'restaurant'], ['Alimentum', 'food', 'English'], ['Alimentum', 'priceRange', 'moderate'], ['Alimentum', 'customer rating', 'average'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'near', 'Yippee Noodle Bar']]


Input: Consider Input: 130368 people used Hale in 2008-9.

Output: [['Hale (HAL)', 'STATION_USERS_2008/9', '130368']]


Input: Consider Input: DZRJ-TV is channel TV-29 with a 30kW.


Output: [['2nd Avenue/RJTV 29 Manila', 'POWER_(KW)', '30kW (500kW ERP)'], ['2nd Avenue/RJTV 29 Manila', 'CALLSIGN', 'DZRJ-TV'], ['2nd Avenue/RJTV 29 Manila', 'CH._#', 'TV-29']]