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sub:assertion {
  <https://doi.org/10.48550/arXiv.2601.01844> dct:title "Clinical Knowledge Graph Construction and Evaluation with Multi-LLMs via Retrieval-Augmented Generation";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#ClinicalKnowledgeGraphConstructionAndEvaluationWithMultiLLMsViaRAG>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#CLR2G>,
      <https://neverblink.eu/ontologies/llm-kg/methods#COVIDKG>, <https://neverblink.eu/ontologies/llm-kg/methods#CancerKGORG>,
      <https://neverblink.eu/ontologies/llm-kg/methods#EMERGE>, <https://neverblink.eu/ontologies/llm-kg/methods#GatorTronRAG>,
      <https://neverblink.eu/ontologies/llm-kg/methods#HybridJSON>, <https://neverblink.eu/ontologies/llm-kg/methods#KALA>,
      <https://neverblink.eu/ontologies/llm-kg/methods#KnowGL>, <https://neverblink.eu/ontologies/llm-kg/methods#KnowGPT>,
      <https://neverblink.eu/ontologies/llm-kg/methods#MedRAG>, <https://neverblink.eu/ontologies/llm-kg/methods#Reflexion>,
      <https://neverblink.eu/ontologies/llm-kg/methods#TruthfulQA>, <https://neverblink.eu/ontologies/llm-kg/methods#WebLens>;
    a prov:Entity .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#CLR2G> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "CLR2G" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#COVIDKG> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "COVIDKG" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#CancerKGORG> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "CancerKG.ORG" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ClinicalKnowledgeGraphConstructionAndEvaluationWithMultiLLMsViaRAG>
    dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGConstruction>;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "This method proposes an end-to-end framework for constructing and evaluating clinical knowledge graphs from free-text using a multi-agent LLM pipeline and a schema-constrained Retrieval-Augmented Generation (KG-RAG) strategy. It primarily leverages LLMs for entity discovery, attribute extraction, relation identification, ontology mapping, semantic encoding, and multi-LLM consensus validation, all contributing to the construction and refinement of knowledge graphs.";
    rdfs:label "Clinical Knowledge Graph Construction and Evaluation with Multi-LLMs via Retrieval-Augmented Generation";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#EMERGE> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "EMERGE" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#GatorTronRAG> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "GatorTron-RAG" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#HybridJSON> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Hybrid.JSON" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#KALA> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "KALA" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#KnowGL> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "KnowGL" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#KnowGPT> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "KnowGPT" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#MedRAG> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "MedRAG" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#Reflexion> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Reflexion" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#TruthfulQA> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Truth-fulQA" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#WebLens> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "WebLens" .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent>;
    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2601.01844> .
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