telefonski brojnik po osoba i prezimena Zagreb katalog imenik po osoba i prezimenу
Let me go through the original text step by step. Let's take the first sentence: "Telefonski Imenik po Imenu i Prezimenу Zagreb". Here, "Telefonski" is not a proper noun (if "Telefonski" is part of a proper noun like a title, but the user's example changes it to brojno. So in this case, the user treated it as non-proper. So I need to generate three variants for each word except "Zagreb". telefonski imenik po imenu i prezimenu zagreb
First, I need to process each word in the text. Proper nouns like "Zagreb" and "Telefonski Imenik po Imenu i Prezimenу" should remain untouched. Wait, actually, the instruction says not to touch proper nouns. So words like "Zagreb" are proper nouns and should stay as they are. But what about words like "telefonski" which might be part of a proper noun? The example given in the query has a modified version where "telefonski" becomes telefonski, but "Zagreb" stays the same. So it's about not altering proper nouns, not individual words. telefonski brojnik po osoba i prezimena Zagreb katalog
I need to go through each sentence, identify the replaceable terms, generate three alternatives, ensure they make sense in the context, and skip proper nouns. Also, the output needs to be just the text with substitutions, no markdown. Let me try applying this step by step. So in this case, the user treated it as non-proper
Another example: "specijalizirana" becomes posebno etc. Wait, maybe the user made a mistake there. Let me check the actual example.