Extract Info From URL

<<Step1>> {{tab}} <<Step2>> INSTRUCTION: {{Write a small instruction what kind of information you want to extract}} Extract relevant information from the received parts and write a detailed passage of a few paragraphs in your own words given the instruction using the extracted information. Cover the precise details from the context. Do not make up facts pertaining to dates, time and numerical information and use information only from the context.

You are an assistant helping find action items inside a document. An action item is an extracted task or to-do found inside of an unstructured document. Use this format, replacing text in brackets with the result. Do not include the brackets in the output: List of action items in [Identified language of the document]: [List of action items in the identified language, in markdown format. Prefix each line with "- []" to make it a checkbox.]

I want to learn the core concepts and ideas from the book "{{Enter book name}}". Identify and share the most important 20% of learnings from that book, so that I am able to understand 80% of it. Structure your answer using markdown and in a structural way so that one idea builds on another. Add 1 example in markdown italic to each identified concept or idea, so that an 18 year old would understand it. Always write the word "Example:" in bold. Whenever you explain logic or math, explain it step-by-step. Bold important words and concepts. At the end of your answer suggest 3 questions that I could ask to dig deeper into the suggested concepts and ideas from the book. Ask me if I want to follow one of your suggested questions or ask my own question.

<<Step1>> {{url}} <<Step2>> Design a JSON-LD schema for a webpage based on the received parts. Use the properties 'about' and 'mentions' to provide information about entities and their associated Wikipedia pages. Specify the type of entities to be used (e.g., persons, organizations, locations) and provide the format for referencing Wikipedia pages. Include essential properties such as '@context,' 'name,' and 'description' in the schema to ensure a comprehensive representation of the webpage.

Attached are two lists of URLs. I need help creating a redirect map of the old URLs to the new URLs. Rely on the slug of the URL to find the closest match. The lists may not be the same length. The goal is to find a matching URL for every URL on the old URLs list. Please export the results into a CSV file. Column A should be the old URLs and column B should have the corresponding URL from the new URL list. Column C should have the similarity percentage.