Triple

T7420622
Position Surface form Disambiguated ID Type / Status
Subject RDFa E171236 entity
Predicate relatedStandard P37 FINISHED
Object Microdata
Microdata is an HTML-based specification for embedding machine-readable metadata within web pages to improve data interoperability and search engine understanding.
E662769 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: Microdata | Statement: [RDFa, relatedStandard, Microdata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Microdata
Context triple: [RDFa, relatedStandard, Microdata]
  • A. JSON-LD
    JSON-LD is a JSON-based format for encoding Linked Data, enabling structured data to be easily shared and understood across the web.
  • B. RDFa
    RDFa is a W3C-recommended syntax for embedding structured, machine-readable metadata within HTML and other web documents using attributes.
  • C. Semantic MediaWiki
    Semantic MediaWiki is an extension to the MediaWiki platform that adds semantic annotation and querying capabilities, turning wiki content into a structured, queryable knowledge base.
  • D. Meta Language
    Meta Language is a formal specification language used to define and manipulate the syntax and semantics of programming languages and logical systems.
  • E. MODS (Metadata Object Description Schema)
    MODS (Metadata Object Description Schema) is an XML-based bibliographic description standard designed to provide a flexible, user-friendly alternative to MARC for describing and sharing library and cultural heritage resources.
  • 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: Microdata
Triple: [RDFa, relatedStandard, Microdata]
Generated description
Microdata is an HTML-based specification for embedding machine-readable metadata within web pages to improve data interoperability and search engine understanding.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Microdata
Target entity description: Microdata is an HTML-based specification for embedding machine-readable metadata within web pages to improve data interoperability and search engine understanding.
  • A. JSON-LD
    JSON-LD is a JSON-based format for encoding Linked Data, enabling structured data to be easily shared and understood across the web.
  • B. RDFa
    RDFa is a W3C-recommended syntax for embedding structured, machine-readable metadata within HTML and other web documents using attributes.
  • C. Semantic MediaWiki
    Semantic MediaWiki is an extension to the MediaWiki platform that adds semantic annotation and querying capabilities, turning wiki content into a structured, queryable knowledge base.
  • D. Meta Language
    Meta Language is a formal specification language used to define and manipulate the syntax and semantics of programming languages and logical systems.
  • E. MODS (Metadata Object Description Schema)
    MODS (Metadata Object Description Schema) is an XML-based bibliographic description standard designed to provide a flexible, user-friendly alternative to MARC for describing and sharing library and cultural heritage resources.
  • 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_69c6f2ea61248190886e8e55b42ba5f1 completed March 27, 2026, 9:13 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.