The aim of the project is to develop a lightweight, fast and deployable SLM tuned to identify

relationships between pre-tagged entities that can be used to populate knowledge graphs.

The deliverable would be a working prototype that used existing SciBite components (scientific

data pipelines and rules-based entity tagging) but extends them to create triples that represent

relationships between entities defined in a relationship ontology.

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