Triple

T21989849
Position Surface form Disambiguated ID Type / Status
Subject ISO/IEC 19757-5 E543053 entity
Predicate hasTitle P38 FINISHED
Object Extensible Datatypes NE NERFINISHED

How this triple was built (3 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: Extensible Datatypes | Statement: [ISO/IEC 19757-5, hasTitle, Extensible Datatypes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Extensible Datatypes
Context triple: [ISO/IEC 19757-5, hasTitle, Extensible Datatypes]
  • A. Extensible Application Markup Language
    Extensible Application Markup Language is a Microsoft-developed XML-based language used primarily to define user interfaces and workflows in technologies like WPF, UWP, and Silverlight.
  • B. XDM (XQuery and XPath Data Model)
    XDM (XQuery and XPath Data Model) is the formal, abstract data model that defines the types and structures of data processed by XQuery and XPath expressions.
  • C. ISO/IEC 19757 (Document Schema Definition Languages, DSDL)
    ISO/IEC 19757 (Document Schema Definition Languages, DSDL) is a multi-part international standard that defines a modular framework of languages and mechanisms for validating and describing the structure and semantics of XML documents.
  • D. External Data Representation
    External Data Representation (XDR) is a standard, platform-independent data serialization format used to encode and decode data structures for network communication.
  • E. Darwin Information Typing Architecture
    Darwin Information Typing Architecture (DITA) is an XML-based, topic-oriented architecture and standard for authoring, organizing, and publishing technical content in a modular and reusable way.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Extensible Datatypes
Target entity description: Extensible Datatypes is a part of the ISO/IEC 19757 Document Schema Definition Languages (DSDL) standard that defines a flexible framework for specifying and extending datatypes used in XML document validation.
  • A. Extensible Application Markup Language
    Extensible Application Markup Language is a Microsoft-developed XML-based language used primarily to define user interfaces and workflows in technologies like WPF, UWP, and Silverlight.
  • B. XDM (XQuery and XPath Data Model)
    XDM (XQuery and XPath Data Model) is the formal, abstract data model that defines the types and structures of data processed by XQuery and XPath expressions.
  • C. ISO/IEC 19757 (Document Schema Definition Languages, DSDL) chosen
    ISO/IEC 19757 (Document Schema Definition Languages, DSDL) is a multi-part international standard that defines a modular framework of languages and mechanisms for validating and describing the structure and semantics of XML documents.
  • D. External Data Representation
    External Data Representation (XDR) is a standard, platform-independent data serialization format used to encode and decode data structures for network communication.
  • E. Darwin Information Typing Architecture
    Darwin Information Typing Architecture (DITA) is an XML-based, topic-oriented architecture and standard for authoring, organizing, and publishing technical content in a modular and reusable way.
  • F. None of above.

Provenance (2 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270cb67c81909a3aa2dc61c1894f completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:05 p.m.