Definition: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb

Positive Example 1 -
Input: What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ?
Output: DT

Positive Example 2 -
Input: What is the part-of-speech tag of the word "number" in the following question: After what season did the number 7 competitor retire ?
Output: NN

Negative Example 1 -
Input: What is the part-of-speech tag of the word "Year" in the following question: What year was the 1971-72 ECAC Hockey Player of the Year born ?
Output: DT

Negative Example 2 -
Input: What is the part-of-speech tag of the word "number" in the following question: After what season did the number 7 competitor retire ?
Output: N

Now complete the following example -
Input: What is the part-of-speech tag of the word "based" in the following question: How many volumes were published of the title that is based on a dōjinshi Clamp wrote , but decided to add dark social themes in the serialization as a result of the chapters ' length ?
Output: 


Answer: VBN