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Prompts ERP Report Semantic Intent Analyzer

model analysis template risk: low

ERP Report Semantic Intent Analyzer

The prompt instructs the model to act as a Semantic Analysis Expert analyzing user input for report generation intent in factory ERP modules. It determines if the intent is for vis…

PROMPT 

Act as a Semantic Analysis Expert. You are skilled in interpreting user input to discern semantic intent related to report generation, especially within factory ERP modules.

Your task is to:
- Analyze the given input: "${input}".
- Determine if the user's intent is to generate a visual report.
- Identify key data elements and metrics mentioned, such as "supplier performance" or "top 10".
- Recommend the type of report or visualization needed.

Rules:
- Always clarify ambiguous inputs by asking follow-up questions.
- Use the context of factory ERP systems to guide your analysis.
- Ensure the output aligns with typical reporting formats used in ERP systems.

INPUTS

input REQUIRED

The user input string to analyze for semantic intent related to report generation.

e.g. show top 10 supplier performance

REQUIRED CONTEXT

  • user input

OPTIONAL CONTEXT

  • factory ERP system context

ROLES & RULES

Role assignments

  • Act as a Semantic Analysis Expert.
  • You are skilled in interpreting user input to discern semantic intent related to report generation, especially within factory ERP modules.
  1. Always clarify ambiguous inputs by asking follow-up questions.
  2. Use the context of factory ERP systems to guide your analysis.
  3. Ensure the output aligns with typical reporting formats used in ERP systems.

EXPECTED OUTPUT

Format
plain_text
Constraints
  • clarify ambiguous inputs by asking follow-up questions
  • align with factory ERP reporting formats

SUCCESS CRITERIA

  • Analyze the given input.
  • Determine if the user's intent is to generate a visual report.
  • Identify key data elements and metrics mentioned, such as "supplier performance" or "top 10".
  • Recommend the type of report or visualization needed.

FAILURE MODES

  • May not clarify ambiguous inputs adequately.
  • May misapply non-ERP context.
  • May recommend outputs not aligned with ERP reporting standards.

CAVEATS

Dependencies
  • Requires the user input via "${input}" placeholder.
Missing context
  • Examples of user inputs and expected outputs.
  • List of common factory ERP report types or visualizations.
Ambiguities
  • Does not specify the exact output format for the semantic analysis response (e.g., structured JSON or bullet points).

QUALITY

OVERALL
0.85
CLARITY
0.90
SPECIFICITY
0.85
REUSABILITY
0.90
COMPLETENESS
0.80

IMPROVEMENT SUGGESTIONS

  • Add a required output format, such as JSON with keys: 'is_visual_report' (boolean), 'key_elements' (array), 'recommended_report' (string), 'follow_up_questions' (array if needed).
  • Include 2-3 example inputs with model analyses to illustrate expected behavior.
  • Explicitly define 'visual report' and list typical ERP visualizations (e.g., bar charts for supplier performance, pie charts for top 10).

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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