In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be answered using Wikipedia articles. To decompose the question, think of a decomposition strategy you could apply to answer the question through a search against Wikipedia. The decomposition strategy might not be obvious for some questions. For this reason, you are provided with additional information. You are not required to write decompositions that exactly match the provided facts, they are only meant as guidance. If the facts are too noisy, think about how you would have used Wikipedia to answer this question to create the decomposition. "not_definitive_answer" is true if there is no clear answer i.e. the question is ambiguous or a subjective opinion."incorrect_answer" is true if the answer to the question is not correct. If the answer is incorrect, write a decomposition that evaluates the correct answer. Each question should be easy to answer based on simple facts from Wikipedia pages, or a simple check using the answers to preceding questions. To ensure this, we also ask you to enter a potential Wikipedia article that would contain the answer to each question. If you can not think of a Wikipedia page that can answer your question, please think of a different strategy. You do not need to enter a Wikipedia page for steps that don't add new information and only contain simple checks. The answer to the final question is the same as the answer to the original question. Every question's answer has an impact on the final answer and there should be no redundant steps in the decomposition.

Ex Input:
Question: Does the anatomy of a camel lend itself to jokes on Wednesdays?, Answer:Yes, Description of Wednesday: Day of the week, Fact1: Wednesday is often referred to as 'hump day' as a joke., Fact2: Camels are known for having a significant hump. 

Ex Output:
Step1: As a joke, what is Wednesday otherwise known as?, Step2: What are camels known for having?, Step3: Is there overlap between #1 and #2?, Wikipedia page for step 1: Hump Day, Wikipedia page for step 2: Camels, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_answer: False


Ex Input:
Question: Can a Reconstruction era coin buy DJI Mavic Pro Drone?, Answer:Yes, Description of Reconstruction era: Era of military occupation in the Southern United States after the American Civil War (1865–1877), Fact1: The DJI Mavic Pro Drone retails for around $1,000 dollars., Fact2: THE Reconstruction Era took place from 1865-1877., Fact3: Mint condition 1870 Seated Liberty Silver Dollar's can sell for between $2,283 to $4,933.

Ex Output:
Step1: How much does a DJI Mavic Pro Drone retail for?, Step2: During what years did the Reconstruction era occur?, Step3: Of the US coins minted during the years in #2, are any of them now worth at least as much as #1?, Wikipedia page for step 1: DJI Mavic Pro Drone, Wikipedia page for step 2: Reconstruction era, Wikipedia page for step 3: Coin collecting, not_definitive_answer: False, incorrect_answer: False


Ex Input:
Question: Would Emma Roberts's Nancy Drew be considered a private investigator?, Answer:No, Description of Private investigator: person hired to undertake investigatory law services, Fact1: Emma Roberts starred as Nancy Drew in the 2007 film titled Nancy Drew., Fact2: A private investigator is hired by an individual to solve a crime., Fact3: Nancy Drew from the 2007 film was described as an amateur sleuth., Fact4: Nancy Drew in the 2007 film was interested in a case and decided to pursue it on her own, without being paid for it.

Ex Output:

Step1: Who did Emma Roberts play in the 2007 film titled Nancy Drew?, Step2: Was #1 considered a private investigator?, Wikipedia page for step 1: https://en.wikipedia.org/wiki/Emma_Roberts, Wikipedia page for step 2: https://en.wikipedia.org/wiki/Nancy_Drew_(2007_film), not_definitive_answer: False, incorrect_answer: False