Structured data is everywhere, but connecting it to meaningful knowledge sources remains a challenge. Traditional entity linking methods often struggle with ambiguity and scale—until now. Lion Linker is an LLM-powered solution developed by SINTEF as part of the enRichMyData project. Designed to enhance entity linking within tabular data, it seamlessly integrates with knowledge graphs like Wikidata, making it a valuable tool in the project’s broader data enrichment toolbox.
Lion Linker changes the game by integrating Large Language Models (LLMs) to perform highly accurate, context-aware entity linking over tabular data. Whether for academic research, NLP pipelines, or enterprise data processing, Lion Linker ensures efficient and scalable entity resolution.
Why Choose Lion Linker?
Unlike rule-based approaches or traditional vector matching, Lion Linker leverages LLMs to enhance precision while remaining highly flexible and customizable.
Key Features
- LLM-Powered Entity Linking
By using state-of-the-art language models, Lion Linker understands entity mentions in context and links them to the most relevant knowledge graph entries.
- Customizable Prompting for Greater Flexibility
Different datasets require different linking strategies. Lion Linker allows for the fine-tuning prompts to adapt to various domains and use cases.
- Batch Processing for Large-Scale Datasets
Efficiently handles large amounts of tabular data by processing it in chunks, making it ideal for big data applications.
- Multiple Knowledge Retrieval Integrations
Lion Linker seamlessly connects to LAMAPI, Wikidata Lookup, and OpenRefine, offering the flexibility to choose the best retrieval method for a given dataset.
- Automation & Scalability
With a command-line interface and programmatic support, Lion Linker fits effortlessly into existing NLP and data enrichment workflows.
How Lion Linker Works
1️. Install & Set Up
Lion Linker is easy to install and requires Ollama, a local service that enables interaction with LLMs.
2️. Configure Retrieval Settings
To fetch candidate entities, Lion Linker integrates with external retrieval services, requiring an API endpoint and authentication token.
3️. Process Tabular Data
By defining which columns contain entity mentions, Lion Linker links them to structured knowledge graphs, ensuring accurate and contextually relevant results.
Real-World Applications
Lion Linker is designed for scalability and flexibility, making it a valuable tool across multiple fields:
• Academic Research & Digital Humanities – Automating annotation and entity linking for large textual datasets.
• NLP & AI Workflows – Enabling more accurate knowledge-aware applications.
• Business & Enterprise Data Enrichment – Linking structured data with relevant knowledge bases for better decision-making.
With LLM-based contextual linking, integration flexibility, and scalability, Lion Linker is the future of intelligent entity resolution.
🔗 Get Started
Lion Linker is open-source and ready for use. Check out the GitHub repository to start enriching your tabular data today: