Triple

T23154374
Position Surface form Disambiguated ID Type / Status
Subject Eclipse Modeling Framework E578400 entity
Predicate supportsFormat P203 FINISHED
Object XML Schema NE NERFINISHED

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: [Eclipse Modeling Framework, supportsFormat, XML Schema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XML Schema
Context triple: [Eclipse Modeling Framework, supportsFormat, 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 (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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efbe9a08190bcb6e822b8eab544 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.