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knowledge-graph

Configure and debug Baan's knowledge graph pipeline for entity extraction and Wikidata linking.

Updated Jun 14, 2026
Search Tags:#knowledge graph#Schema.org#article generation#Wikidata#AI entity extraction
One-click install
npx skills add https://github.com/baan-press/baan --skill knowledge-graph-baan-press
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-graph
Source: https://github.com/baan-press/baan/tree/main/.claude/skills/knowledge-graph
Command: npx skills add https://github.com/baan-press/baan --skill knowledge-graph-baan-press

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the configuration and debugging of Baan's knowledge graph pipeline, which includes AI entity extraction, Wikidata linking, and more. It helps to optimize entity extraction, debug issues, link to Wikidata, configure FAQ schema, and generate entity-bridge articles.

Core Features & Use Cases

  • Entity Extraction: Fine-tune AI-powered entity extraction from article bodies.
  • Wikidata Linking: Configure and manage links between entities and Wikidata.
  • Schema.org Configuration: Set up and verify Schema.org JSON-LD output for SEO purposes.
  • Entity Bridge Generation: Create article suggestions based on connected entities.
  • Use Case: For a content curator working with Baan, this Skill can be used to ensure accurate entity extraction and linked data, improving SEO and user experience.

Quick Start

Use the knowledge-graph skill to extract entities from the article 'my-article.md'.

Frequently Asked Questions about knowledge-graph

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract entities from an article and link them to Wikidata?▼

To extract entities, configure the AI entity extraction pipeline to parse article bodies and match identified entities with their corresponding Wikidata records. This process ensures accurate linked data and enriches user context.

How do I configure Schema.org JSON-LD output for SEO?▼

Configuring Schema.org JSON-LD output involves setting up structured data emission within the knowledge graph pipeline to verify and output valid JSON-LD. This validates your linked metadata for search engine optimization purposes.

Can I generate article suggestions based on connected knowledge graph entities?▼

Yes, you can generate article suggestions through the entity bridge generation feature. It creates tailored content recommendations by analyzing connected entities extracted from your existing articles within the knowledge graph pipeline.

Why is my AI entity extraction not working properly in the knowledge graph pipeline?▼

AI entity extraction may fail due to misconfigured extraction parameters or unparseable article body formats. You can debug the knowledge graph pipeline by fine-tuning the extraction settings to accurately identify entities.

Do I need a specific content platform to use knowledge graph entity extraction and Wikidata linking?▼

This knowledge graph pipeline is tailored for narrative platforms using AI to link content and metadata. You need a compatible content management environment that supports article ingestion and metadata linking for SEO.

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