Nanopublications

@prefix this: <https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4> .
@prefix sub: <https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/> .
@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 {
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    np:hasProvenance sub:provenance ;
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    a np:Nanopublication .
}

sub:assertion {
  <https://doi.org/10.48550/arXiv.2402.09911> dct:title "Enhancing Large Language Models with Pseudoand Multisource-Knowledge Graphs for Open-ended Question Answering" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#PgAkv> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought> , <https://neverblink.eu/ontologies/llm-kg/methods#IoPrompt> , <https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGeneration> , <https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency> , <https://neverblink.eu/ontologies/llm-kg/methods#ThinkOnGraph> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Chain-of-Thought (CoT)" .
  <https://neverblink.eu/ontologies/llm-kg/methods#IoPrompt> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "IO Prompt" .
  <https://neverblink.eu/ontologies/llm-kg/methods#PgAkv> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "PG&AKV is a framework designed to enhance LLM performance during inference, specifically for open-ended and precise question answering. It leverages LLMs to generate a preliminary knowledge framework (pseudo-graph) and then uses external KGs for atomic-level knowledge querying and verification. The refined knowledge from KGs mitigates LLM hallucinations and improves answer accuracy without retraining, aligning with the goal of KGEnhancedLLMInference." ;
    rdfs:label "Pseudo-Graph Generation and Atomic Knowledge Verification (PG&AKV)" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGeneration> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Retrieval-Augmented Generation (RAG)" .
  <https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Self-Consistency (SC)" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ThinkOnGraph> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Think on Graph (ToG)" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2402.09911> .
}

sub:pubinfo {
  this: dct:created "2026-02-26T15:45:52.930Z"^^xsd:dateTime ;
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    npx:hasNanopubType <https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult> ;
    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2402.09911" .
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