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Knowledge Graph

NEW

AI-extracted entities and relationships across all WorldPulse signals. Explore who connects to whom, track trending entities, and discover hidden patterns in global intelligence — powered by real-time knowledge graph analysis.

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🔥 Trending Entities (24h)

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Data Sources & Methodology

Entities and relationships are extracted from WorldPulse signals using AI-powered Named Entity Recognition (NER) and relationship inference. The knowledge graph updates in real-time as new signals are processed. Entity resolution uses canonical name matching with alias tracking. Trending detection uses spike-over-baseline analysis with a 24-hour window. Sources: WorldPulse Signal Pipeline, Gemini Flash / GPT-4o-mini for LLM extraction, rule-based NER fallback for offline operation.

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