Nanopublications

@prefix this: <https://w3id.org/np/RA36DKwq5ozZ2IVm68u53kmHgG4R-Dl6O1OH9Q71wyvZE> .
@prefix sub: <https://w3id.org/np/RA36DKwq5ozZ2IVm68u53kmHgG4R-Dl6O1OH9Q71wyvZE/> .
@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: np:hasAssertion sub:assertion ;
    np:hasProvenance sub:provenance ;
    np:hasPublicationInfo sub:pubinfo ;
    a np:Nanopublication .
}

sub:assertion {
  <https://doi.org/10.48550/arXiv.2410.12298> dct:title "Pyramid-Driven Alignment: Pyramid Principle Guided Integration of Large Language Models and Knowledge Graphs" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#PyramidDrivenAlignment> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought> , <https://neverblink.eu/ontologies/llm-kg/methods#KAPING> , <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeDrivenCoT> , <https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency> , <https://neverblink.eu/ontologies/llm-kg/methods#SubgraphKGQA> ;
    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#KAPING> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "KAPING" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeDrivenCoT> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Knowledge-Driven CoT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#PyramidDrivenAlignment> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "PDA proposes a novel framework to align LLM and KG knowledge and optimize their reasoning capabilities for complex question-answering. It uses the Pyramid Principle to generate deductive knowledge from the LLM that aligns with KG reasoning paths, and then employs a recursive mechanism to leverage the KG's inherent reasoning abilities to retrieve accurate information, thereby combining the strengths of both systems." ;
    rdfs:label "Pyramid-Driven Alignment (PDA)" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Self-Consistency" .
  <https://neverblink.eu/ontologies/llm-kg/methods#SubgraphKGQA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Subgraph-KGQA" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2410.12298> .
}

sub:pubinfo {
  this: dct:created "2026-02-26T15:47:41.405Z"^^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.2410.12298" .
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