Description
GenAI prompt that extracts political promises from PDFs, Video, documents and websites with key details (what, who, when, where (country, region, city, county, sub-counties, etc), for whom, how much, figures, sector etc),
So that I can easily review and track promises in a simple table or bullet format.
Acceptance Criteria:
The GenAI prompt should:
- Analyse Public statements, political speeches, manifestos, policy pronouncements
From PDFs, websites, and other common document types
- Extract the following key fields:
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What (the promise)
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Who made it
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When it was made
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Where (country, region, city, county, sub-county)
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For whom the promise is intended
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Figures (amounts, targets, numbers)
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Sector (e.g., health, education, economy, climate)
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Timeframe (explicit or inferred)
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Delivery modality (e.g., direct provision, partnership)
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Budget/resource references (linked documents like budgets, workplans)
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Identify promissory language patterns (e.g., “We will…”, “Our government shall…”)
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Use Named Entity Recognition (NER) to detect relevant actors, places, topics, and quantities
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Present the output in a clean bullet list or table, easy for non-technical users (no JSON)
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Achieve ≥90% accuracy compared to expert human annotation
Deliverable: Google Document
The deliverable handed to end users must include:
- Finalised GenAI prompt(s), with editable text
- Step-by-step usage guide with screenshots or GIFs if needed
- Example outputs tested on at least 3 GenAI platforms (e.g., ChatGPT, Gemini, DeepSeek)
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