Triple

T7980922
Position Surface form Disambiguated ID Type / Status
Subject WS-* specifications E185566 entity
Predicate builtOn P2012 FINISHED
Object XML Schema E24277 NE FINISHED

How this triple was built (2 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: XML Schema | Statement: [WS-* specifications, builtOn, XML Schema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XML Schema
Context triple: [WS-* specifications, builtOn, XML Schema]
  • A. XML Schema chosen
    XML Schema is a W3C standard language used to define the structure, content, and data types of XML documents.
  • 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. 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. Schematron
    Schematron is a rule-based XML schema language that uses XPath expressions to define and validate complex structural and business constraints in XML documents.
  • E. XML Namespaces
    XML Namespaces is a W3C specification that provides a method for qualifying element and attribute names in XML documents to avoid naming conflicts between vocabularies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c274ce48190854d389d43ce14b8 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0dab8188190b99e1c13bec61b87 completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:15 p.m.