[ {
  "@graph" : [ {
    "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk",
    "@type" : [ "http://www.nanopub.org/nschema#Nanopublication" ],
    "http://www.nanopub.org/nschema#hasAssertion" : [ {
      "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk/assertion"
    } ],
    "http://www.nanopub.org/nschema#hasProvenance" : [ {
      "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk/provenance"
    } ],
    "http://www.nanopub.org/nschema#hasPublicationInfo" : [ {
      "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk/pubinfo"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk/Head"
}, {
  "@graph" : [ {
    "@id" : "https://doi.org/10.48550/arXiv.2406.14282",
    "@type" : [ "http://www.w3.org/ns/prov#Entity" ],
    "http://purl.org/dc/terms/title" : [ {
      "@value" : "Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs"
    } ],
    "http://purl.org/spar/cito/describes" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Lpkg"
    } ],
    "http://purl.org/spar/cito/discusses" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#CoT"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Direct"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#DirectRag"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Dlpkg"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Iclpkg"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#React"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#SelfAsk"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#CoT",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Chain-of-Thought (CoT)"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Direct",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Direct"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#DirectRag",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Direct RAG"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Dlpkg",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "DLPKG"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Iclpkg",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "ICLPKG"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Lpkg",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://purl.org/dc/terms/subject" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMPretraining"
    } ],
    "http://www.w3.org/2000/01/rdf-schema#comment" : [ {
      "@value" : "LPKG is a novel framework that enhances the planning capabilities of LLMs for complex question-answering. It uses predefined KG patterns to construct accurate planning data, which is then used to fine-tune a planning LLM. The KG data directly improves the LLM's internal ability to generate multi-step plans, classifying it under KGEnhancedLLMPretraining as it modifies the LLM's core capabilities through a training phase."
    } ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Learning to Plan from Knowledge Graphs (LPKG)"
    } ],
    "https://neverblink.eu/ontologies/llm-kg/hasTopCategory" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#React",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "ReAct"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#SelfAsk",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Self-Ask"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk/assertion"
}, {
  "@graph" : [ {
    "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk/assertion",
    "http://www.w3.org/ns/prov#wasAttributedTo" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/agent"
    } ],
    "http://www.w3.org/ns/prov#wasDerivedFrom" : [ {
      "@id" : "https://doi.org/10.48550/arXiv.2406.14282"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk/provenance"
}, {
  "@graph" : [ {
    "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk",
    "http://purl.org/dc/terms/created" : [ {
      "@type" : "http://www.w3.org/2001/XMLSchema#dateTime",
      "@value" : "2026-02-26T16:09:03.511Z"
    } ],
    "http://purl.org/dc/terms/creator" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/agent"
    } ],
    "http://purl.org/nanopub/x/hasNanopubType" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult"
    } ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "LLM-KG assessment for paper 10.48550/arXiv.2406.14282"
    } ]
  }, {
    "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk/sig",
    "http://purl.org/nanopub/x/hasAlgorithm" : [ {
      "@value" : "RSA"
    } ],
    "http://purl.org/nanopub/x/hasPublicKey" : [ {
      "@value" : "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB"
    } ],
    "http://purl.org/nanopub/x/hasSignature" : [ {
      "@value" : "uQ4iJyyG0c2mEVxVZ7HTYmJxo+oFMp6fowXUsAlTZPfgoB4lF70Y1u3xOHtBYrsI7R0hgO5mvVHgnFS9smKDdxMVQ64292V/XNt+49ee/kTWzR+BpMMNGRiQSuhCGKu6LlZxuunAqLQgZ5QwMNK/0SIQa54ai51FszWD6Sq1ed3l8WLo1XM5/qiLFUqVLHUvyXxw8++nttKWuZfofiv4xtqe+EKbMix1zPaYBi4Fl/WZc/TaHC8S/kJ0lNw7ZVQHo6wlDE6CZbU2Fvqbi7UUG8G6oDZA27dNDvV/beq6aarPfACvOMLKBabz6/bM/d0zg2qJYAEjMZ05CeOjtTTd3Q=="
    } ],
    "http://purl.org/nanopub/x/hasSignatureTarget" : [ {
      "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk"
    } ],
    "http://purl.org/nanopub/x/signedBy" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/agent"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RAvecfahu6db5EZ5K5mdRkoNjwfSphQFlobfeCxOhdgNk/pubinfo"
} ]