Triple

T1422239
Position Surface form Disambiguated ID Type / Status
Subject OWL Full E30248 entity
Predicate hasSemanticBasis P7125 FINISHED
Object RDF model theory
RDF model theory is the formal semantic framework that defines how RDF graphs are interpreted and given meaning in terms of logical models.
E29602 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: RDF model theory | Statement: [OWL Full, hasSemanticBasis, RDF model theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RDF model theory
Context triple: [OWL Full, hasSemanticBasis, RDF model theory]
  • A. RDF
    RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
  • B. RDFS
    RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
  • C. Cool URIs for the Semantic Web
    Cool URIs for the Semantic Web is a W3C note that provides best-practice guidelines on designing stable, resolvable web identifiers (URIs) for publishing and linking semantic web data.
  • D. Semantic Web
    The Semantic Web is an extension of the current web in which information is given well-defined meaning through standards like RDF and OWL, enabling machines to understand, share, and reason about data across different systems.
  • E. OWL 2 QL
    OWL 2 QL is a lightweight profile of the Web Ontology Language designed to enable efficient query answering over large datasets using standard relational database technologies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RDF model theory
Triple: [OWL Full, hasSemanticBasis, RDF model theory]
Generated description
RDF model theory is the formal semantic framework that defines how RDF graphs are interpreted and given meaning in terms of logical models.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RDF model theory
Target entity description: RDF model theory is the formal semantic framework that defines how RDF graphs are interpreted and given meaning in terms of logical models.
  • A. RDF chosen
    RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
  • B. RDFS
    RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
  • C. Cool URIs for the Semantic Web
    Cool URIs for the Semantic Web is a W3C note that provides best-practice guidelines on designing stable, resolvable web identifiers (URIs) for publishing and linking semantic web data.
  • D. Semantic Web
    The Semantic Web is an extension of the current web in which information is given well-defined meaning through standards like RDF and OWL, enabling machines to understand, share, and reason about data across different systems.
  • E. OWL 2 QL
    OWL 2 QL is a lightweight profile of the Web Ontology Language designed to enable efficient query answering over large datasets using standard relational database technologies.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSemanticBasis
Context triple: [OWL Full, hasSemanticBasis, RDF model theory]
  • A. hasLexicalInfluenceOn
    Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
  • B. hasLiteralMeaning
    Indicates that one entity expresses the direct, explicit meaning or sense of another entity (such as a word, phrase, or symbol).
  • C. syntaxBasedOn
    Indicates that the syntactic structure or rules of one entity are derived from, influenced by, or constructed according to the syntax of another entity.
  • D. isBasedOn chosen
    Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
  • E. hasConnotation
    Indicates that one entity carries an implied or associated meaning, tone, or emotional nuance in relation to another entity.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c52e4ed881908d85e0cb9fe851ac completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0161e23c819099a1c72627f13dd0 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad01c53e808190824b9702c309f0a2 completed March 8, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad0241546881908f1044616255f146 completed March 8, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69a4c4752abc8190a33b634c4d6fad28 completed March 1, 2026, 10:57 p.m.
Created at: March 1, 2026, 8 p.m.