Triple

T1096441
Position Surface form Disambiguated ID Type / Status
Subject XSLT E24281 entity
Predicate relatedTo P37 FINISHED
Object XSL
XSL (Extensible Stylesheet Language) is a family of XML-based languages used to define the presentation and transformation of XML documents, including formatting and style rules.
 E24281 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: XSL | Statement: [XSLT, relatedTo, XSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XSL
Context triple: [XSLT, relatedTo, XSL]
  • A. XSLT
    XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
  • B. XML
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • C. XHTML
    XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
  • D. DSSSL
    DSSSL (Document Style Semantics and Specification Language) is an ISO standard language used to define stylesheets and transformations for SGML documents, particularly in technical publishing.
  • E. XQuery
    XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
  • 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: XSL
Triple: [XSLT, relatedTo, XSL]
Generated description
XSL (Extensible Stylesheet Language) is a family of XML-based languages used to define the presentation and transformation of XML documents, including formatting and style rules.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XSL
Target entity description: XSL (Extensible Stylesheet Language) is a family of XML-based languages used to define the presentation and transformation of XML documents, including formatting and style rules.
  • A. XSLT chosen
    XSLT is a language for transforming XML documents into other formats such as XML, HTML, or plain text using template-based rules.
  • B. XML
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • C. XHTML
    XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
  • D. DSSSL
    DSSSL (Document Style Semantics and Specification Language) is an ISO standard language used to define stylesheets and transformations for SGML documents, particularly in technical publishing.
  • E. XQuery
    XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
  • F. None of above.

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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99ffb3481908cd168b6c58e1c6d completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ea6cc888190b06f640a1e4a5147 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f15c2808190905e40c6db9d957c completed March 7, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69ac633749008190bae63644d5ee7cea completed March 7, 2026, 5:41 p.m.
Created at: March 1, 2026, 7:42 p.m.