[ {
  "@graph" : [ {
    "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8",
    "@type" : [ "http://www.nanopub.org/nschema#Nanopublication" ],
    "http://www.nanopub.org/nschema#hasAssertion" : [ {
      "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/assertion"
    } ],
    "http://www.nanopub.org/nschema#hasProvenance" : [ {
      "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/provenance"
    } ],
    "http://www.nanopub.org/nschema#hasPublicationInfo" : [ {
      "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/pubinfo"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/Head"
}, {
  "@graph" : [ {
    "@id" : "https://doi.org/10.48550/arXiv.2412.10654",
    "@type" : [ "http://www.w3.org/ns/prov#Entity" ],
    "http://purl.org/dc/terms/title" : [ {
      "@value" : "Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data"
    } ],
    "http://purl.org/spar/cito/describes" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning"
    } ],
    "http://purl.org/spar/cito/discusses" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#biranEtAlBackPatching"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#dernbachEtAlNeighborhoodEncoding"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#graph2TextStrategy"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#graphLLM"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#graphRAG"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#nieEtAlCodeStyleIclForKbqa"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#reasoningOnGraphRoG"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#biranEtAlBackPatching",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Biran et al. Back-patching Approach"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#dernbachEtAlNeighborhoodEncoding",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Dernbach et al. Neighborhood Partitioning and Encoding Scheme"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#graph2TextStrategy",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Graph2Text Strategy"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#graphLLM",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "GraphLLM"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#graphRAG",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "GraphRAG"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://purl.org/dc/terms/subject" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/categories#SynergizedKnowledgeRepresentation"
    } ],
    "http://www.w3.org/2000/01/rdf-schema#comment" : [ {
      "@value" : "This method proposes and evaluates representing Knowledge Graphs using programming language (Python) code, both statically and dynamically. This representation is then used to either prompt or fine-tune Large Language Models, aiming to deeply integrate KG structures and semantics into LLM representations. The goal is to enhance LLM multi-hop reasoning by enabling the LLM to effectively represent and process knowledge from both its natural language understanding and the structured KG input in a synergistic manner."
    } ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Knowledge Graph Programming Language Representation for LLM Reasoning"
    } ],
    "https://neverblink.eu/ontologies/llm-kg/hasTopCategory" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#nieEtAlCodeStyleIclForKbqa",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Nie et al. Code-style In-Context Learning for KBQA"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#reasoningOnGraphRoG",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Reasoning on Graph (RoG)"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/assertion"
}, {
  "@graph" : [ {
    "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/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.2412.10654"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/provenance"
}, {
  "@graph" : [ {
    "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8",
    "http://purl.org/dc/terms/created" : [ {
      "@type" : "http://www.w3.org/2001/XMLSchema#dateTime",
      "@value" : "2026-02-26T15:54:25.193Z"
    } ],
    "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.2412.10654"
    } ]
  }, {
    "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/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" : "q2q14mbIlSHpgJGMrW91J8E7NPjW9q5XrqO8xjEsnf9UOW82imofLNwFVcGELm9S8Q9uvkcAdde/YajKHlU1ECbPt76iNp92ycnqUMqUMAU+k2EN5/eaOL/nejv5/EoRJ1GY3Tz8PWCrejMpgQS7LEzG0m0adZ4R8LcmrpJ07SdYNz+nO1wA1TZx5QRVDxxxstSCDtdsCDSWgSXEG3x0PPixaeeLrgMARGy51RUVeENH5OBkb4LhaqyJWToULCTWNvLWcTsnhkpGAR6h96uRyPcdVJh2zljG4k/Kx/24HTvh3OYPF4kfttrWyItqUO70yfMTcUs12MMdP07vfLKtRg=="
    } ],
    "http://purl.org/nanopub/x/hasSignatureTarget" : [ {
      "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8"
    } ],
    "http://purl.org/nanopub/x/signedBy" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/agent"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/pubinfo"
} ]