[
    {
        "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI/assertion",
        "@graph": [
            {
                "@id": "https://doi.org/10.48550/arXiv.2403.07311",
                "http://purl.org/dc/terms/title": [
                    {
                        "@value": "Knowledge Graph Large Language Model (KG-LLM) for Link Prediction"
                    }
                ],
                "http://purl.org/spar/cito/describes": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#KgLlmAblationFramework"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#KgLlmFramework"
                    }
                ],
                "http://purl.org/spar/cito/discusses": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#Analogy"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#CompleX"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ConGlr"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ConvRot"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#DistMult"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#GraphEdit"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#InstructGraph"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#MuseGraph"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#Rescal"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#TransE"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#WsGat"
                    }
                ],
                "@type": [
                    "http://www.w3.org/ns/prov#Entity"
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#KgLlmAblationFramework",
                "http://purl.org/dc/terms/subject": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGCompletion"
                    }
                ],
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#comment": [
                    {
                        "@value": "This method is a variant of the KG-LLM Framework, specifically designed with a simplified \"ablation knowledge prompt.\" Unlike the full KG-LLM prompt, it removes explicit instructions, textualized IDs, and CoT reasoning from the expected response. It is introduced and evaluated by the authors as a baseline within their proposed approach to demonstrate the effectiveness of the advanced prompting strategies in the full KG-LLM Framework for multi-hop link prediction."
                    }
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "KG-LLM (ablation) Framework"
                    }
                ],
                "https://neverblink.eu/ontologies/llm-kg/hasTopCategory": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#KgLlmFramework",
                "http://purl.org/dc/terms/subject": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGCompletion"
                    }
                ],
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#comment": [
                    {
                        "@value": "The KG-LLM Framework is a novel method that converts structured KG data (multi-hop paths) into natural language Chain-of-Thought (CoT) prompts. These prompts are then used to instruction fine-tune LLMs to enhance multi-hop link prediction and relation prediction performance in KGs. The method leverages LLMs' generative and reasoning capabilities to solve KG completion tasks."
                    }
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "Knowledge Graph Large Language Model Framework (KG-LLM)"
                    }
                ],
                "https://neverblink.eu/ontologies/llm-kg/hasTopCategory": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#Analogy",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "Analogy"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#CompleX",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "CompleX"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ConGlr",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "ConGLR"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ConvRot",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "ConvRot"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#DistMult",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "DistMult"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#GraphEdit",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "GraphEdit"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#InstructGraph",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "InstructGraph"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#MuseGraph",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "MuseGraph"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#Rescal",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "RESCAL"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#TransE",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "TransE"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#WsGat",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "wsGAT"
                    }
                ]
            }
        ]
    },
    {
        "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI/provenance",
        "@graph": [
            {
                "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI/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.2403.07311"
                    }
                ]
            }
        ]
    },
    {
        "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI/pubinfo",
        "@graph": [
            {
                "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI",
                "http://purl.org/dc/terms/created": [
                    {
                        "@value": "2026-02-26T13:19:28.614Z",
                        "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
                    }
                ],
                "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.2403.07311"
                    }
                ]
            },
            {
                "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI/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": "hZK7wJff0o+9aEzWOX2THWlnLT5r36TKlI713lqoc6CEb/T1tfIYfVabRNJS6JIN7uWLDPQARj1yl4k++T2YljfI9fCEKj/afVGc4IqvU+iUpE5BNZFNnIUMvyTZ5tPZU1EjO3x6Ul7iPS06Loe+uLxw4oMNBh6rvovR/MMlgxPC49yq18uLjk8eJSlJs3sw+7+lyCXDga9jPkvFfTxQ5oczvgm1yGES7aGYLX8RlCcYMwq7VS33S5bfI1phYHwnaJ2kOKLGZZ2OwtBkrSvmSzvbpdTapNjMH7l/c/xYeTRUh2q4ddguRDcJMxql/nQoPvvTrdOMZB3UCQQBg8P6ug=="
                    }
                ],
                "http://purl.org/nanopub/x/hasSignatureTarget": [
                    {
                        "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI"
                    }
                ],
                "http://purl.org/nanopub/x/signedBy": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/agent"
                    }
                ]
            }
        ]
    },
    {
        "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI/Head",
        "@graph": [
            {
                "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI",
                "http://www.nanopub.org/nschema#hasAssertion": [
                    {
                        "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI/assertion"
                    }
                ],
                "http://www.nanopub.org/nschema#hasProvenance": [
                    {
                        "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI/provenance"
                    }
                ],
                "http://www.nanopub.org/nschema#hasPublicationInfo": [
                    {
                        "@id": "https://w3id.org/np/RA8stpgjrc1GL41JRuwlasWusKapHxYrLBJIMrxz-l-UI/pubinfo"
                    }
                ],
                "@type": [
                    "http://www.nanopub.org/nschema#Nanopublication"
                ]
            }
        ]
    }
]