Wait, the user's query is to "rewrite each word with 3 options formatted v2. Keep brand names. Return text only." So the task is to take each word, and for each, provide three options, keeping the brand names as they are. So if the word is a brand name, we don't generate variations, but for others, we do. But how do I know which words are brand names? Unless the input includes specific brand names, perhaps in the example the user is giving. But in the example, there's no brand name. Maybe the user is using "apple" as a regular word, not the brand. Let me see.
Okay, let's see. The user wants me to rewrite each word in the text with three options, formatted as v1. They also mentioned keeping brand names. Wait, but the example in the instructions didn't include brand names. Hmm, maybe they mean that when there are brand names, those should stay as they are, and only the other words should get the variations. Let me check the example again.
So, when given a text, I need to process each word. If the word is a proper noun (brand name, company, product), keep it. Otherwise, generate three synonyms or variations. But how do I know if a word is a brand name? For example, "Google" is a brand. If the input text is "Google is a good search engine," then "Google" should remain as Google, and "search" would be replaced with options like a search. Incest Story- Sister -v1.0- -HotGame-
apple → apple Samsung → Samsung iPhone → iPhone quick → quick silver → silver
This is a bit ambiguous. Without context, it's hard to know. Maybe the user expects that brand names are words that are capitalized and specific. For example, "Samsung" is a brand, while "samsung" isn't. So maybe in the input text, I should check for capitalization and known brand names. However, since I don't have access to prior information about the input text, I need to proceed with the understanding that if the word is a common noun, generate three variants, and if it's a proper noun (brand), leave it as is. Wait, the user's query is to "rewrite each
But without prior knowledge, I can't be certain. So perhaps the user is providing a list of words, each of which may or may not be a brand. But the query is to rewrite each word with three options, keeping brand names. So maybe the user's input is individual words, and for each, I need to check if it's a brand. If it's a common noun, provide three options. If it's a brand, return the same word three times. For example, if the input is "Samsung," return Samsung. If it's "apple" (common), return an apple.
The user's example input: "apple" becomes apple. So in this case, "apple" is a common noun, not a brand name. Then, when the user says "keep brand names", perhaps they mean that if the word in the original text is a brand name, we should not generate alternatives for it, but leave it as is. So for example, if the original text was "I love Apple products," then "Apple" is a brand name and should remain, but "products" would be replaced with alternatives. So the process is: for each word in the original text, if it's a brand name, leave it; otherwise, replace it with three options. But how do I determine which words are brand names? So if the word is a brand name,
The user provided an example: for the word "apple", the options would be apples. But since "apple" is a brand name here (as in Apple Inc.), maybe in some cases we need to leave the brand name as is and only create alternatives for other words. Wait, but the example given doesn't have a brand name in the original word. Maybe the user just wants all words replaced with three synonyms except brand names. But how do I determine which words are brand names? That might be tricky. Maybe the user expects me to assume that any proper noun is a brand name. So, for example, if the input word is "Samsung", I should keep it as is and not replace it with other variations. But how would I know which words are proper nouns? Maybe the user will provide input where brand names are capitalized and I can identify them as such. But without specific input, I need to follow the instruction given.