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@prefix this: <https://w3id.org/np/RAk8AYwhOQ4k6JOAlHHGKVuB7TsBcKobmpnjMETsvc_1o> .
@prefix sub: <https://w3id.org/np/RAk8AYwhOQ4k6JOAlHHGKVuB7TsBcKobmpnjMETsvc_1o/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .

sub:Head {
  this: a np:Nanopublication;
    np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
  <https://doi.org/10.48550/arXiv.2412.05547> a prov:Entity;
    dct:title "KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#KgRetriever>,
      <https://neverblink.eu/ontologies/llm-kg/methods#KgRetrieverEntityLevelKgConstructionUsingLlms>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#Bm25>,
      <https://neverblink.eu/ontologies/llm-kg/methods#DenseRetriever>, <https://neverblink.eu/ontologies/llm-kg/methods#GraphGuidedReasoning>,
      <https://neverblink.eu/ontologies/llm-kg/methods#IterRetgen>, <https://neverblink.eu/ontologies/llm-kg/methods#Itrg>,
      <https://neverblink.eu/ontologies/llm-kg/methods#Kgp>, <https://neverblink.eu/ontologies/llm-kg/methods#LlmWithCoT>,
      <https://neverblink.eu/ontologies/llm-kg/methods#NaiveLlm> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#Bm25> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "BM25" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#DenseRetriever> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "DenseRetriever" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#GraphGuidedReasoning> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Graph-guided reasoning" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#IterRetgen> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "ITER-RETGEN" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#Itrg> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "ITRG" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#KgRetriever> a <http://purl.org/spar/fabio/Workflow>;
    dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
    rdfs:comment "KG-Retriever is a novel Retrieval-Augmented Generation (RAG) framework that leverages a Hierarchical Index Graph (HIG) to provide comprehensive and efficient knowledge to LLMs during the inference stage. Its goal is to improve the quality, credibility, and efficiency of LLM-generated responses by addressing challenges like multi-hop question answering and information fragmentation. This directly aligns with using KGs to enhance LLM performance during inference.";
    rdfs:label "KG-Retriever";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#KgRetrieverEntityLevelKgConstructionUsingLlms>
    a <http://purl.org/spar/fabio/Workflow>;
    dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGConstruction>;
    rdfs:comment "This method describes the specific use of large language models (Qwen-72B) with in-context learning and designed prompts to extract entities and relations from unstructured text within documents. This process is crucial for constructing the entity-level knowledge graph layer of the Hierarchical Index Graph within the KG-Retriever framework, directly using LLMs to perform a core KG construction task.";
    rdfs:label "KG-Retriever's Entity-Level KG Construction using LLMs";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#Kgp> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "KGP" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#LlmWithCoT> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "LLM with CoT" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#NaiveLlm> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Naive LLM" .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent>;
    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2412.05547> .
}

sub:pubinfo {
  this: dct:created "2026-02-26T15:49:44.125Z"^^xsd:dateTime;
    dct:creator <https://neverblink.eu/ontologies/llm-kg/agent>;
    npx:hasNanopubType <https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult>;
    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2412.05547" .
  
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    npx:hasSignatureTarget this:;
    npx:signedBy <https://neverblink.eu/ontologies/llm-kg/agent> .
}