Triple

T7420643
Position Surface form Disambiguated ID Type / Status
Subject RDFa E171236 entity
Predicate canBeProcessedBy P31626 FINISHED
Object Semantic Web agents
Semantic Web agents are software programs that automatically interpret, integrate, and act on structured web data using Semantic Web standards and ontologies.
E662771 NE FINISHED

How this triple was built (4 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: Semantic Web agents | Statement: [RDFa, canBeProcessedBy, Semantic Web agents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semantic Web agents
Context triple: [RDFa, canBeProcessedBy, Semantic Web agents]
  • A. 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.
  • B. W3C Semantic Web Activity
    W3C Semantic Web Activity is a World Wide Web Consortium initiative that coordinates standards, working groups, and community efforts to develop and promote the Semantic Web.
  • 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. “A System for Representing and Using Real-World Knowledge”
    “A System for Representing and Using Real-World Knowledge” is a seminal AI research paper by John McCarthy that introduces a logical framework for representing commonsense knowledge about the real world.
  • E. OWL 2 RL
    OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
  • 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: Semantic Web agents
Triple: [RDFa, canBeProcessedBy, Semantic Web agents]
Generated description
Semantic Web agents are software programs that automatically interpret, integrate, and act on structured web data using Semantic Web standards and ontologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Semantic Web agents
Target entity description: Semantic Web agents are software programs that automatically interpret, integrate, and act on structured web data using Semantic Web standards and ontologies.
  • A. 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.
  • B. W3C Semantic Web Activity
    W3C Semantic Web Activity is a World Wide Web Consortium initiative that coordinates standards, working groups, and community efforts to develop and promote the Semantic Web.
  • 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. “A System for Representing and Using Real-World Knowledge”
    “A System for Representing and Using Real-World Knowledge” is a seminal AI research paper by John McCarthy that introduces a logical framework for representing commonsense knowledge about the real world.
  • E. OWL 2 RL
    OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
  • F. None of above. chosen

Provenance (5 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f4ec85488190a1f7fb913e0fbe35 completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ef7fc808190a564ab4d9d97ab37 completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c81f9b565881909bebcc3112037f52 completed March 28, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69c8207912f4819086e99ed441bee805 completed March 28, 2026, 6:39 p.m.
Created at: March 27, 2026, 3:11 p.m.