Update prompts.py

prompts.py

@@ -2,24 +2,16 @@
 # All LLM prompt templates live here — easy to tune without touching logic.
 
 def evaluate_doc_prompt(question: str, doc: str) -> str:
-    return f"""### Instruction
-You are a precision document classifier. Evaluate if the provided Document contains sufficient factual evidence to answer the Question.
+    return f"""You are a document classifier. Respond only with the label line, nothing else.
 
-### Scoring Rubric
-1. DIRECT: The document provides specific facts, roles, or actions that answer the core of the question.
-2. PARTIAL: The document mentions the subject but only in passing or provides non-specific context.
-3. IRRELEVANT: The document is about someone else or a different topic.
-
-### Evaluation Steps
-- Identify the primary subject of the question.
-- Check if the document attributes specific historical actions or titles to this subject.
-- If the document provides enough info to form a basic identity (e.g., "He was a [Role] who did [Action]"), it is CORRECT.
-
-### Input Data
 Question: {question}
 Document: {doc}
 
-### Response Format
+### Scoring Rules
+- CORRECT: Document contains specific facts that directly answer the question.
+- AMBIGUOUS: Document mentions the subject but only vaguely or partially.
+- INCORRECT: Document is about a different topic or person entirely.
+
 Label: [CORRECT, AMBIGUOUS, or INCORRECT]"""