Triple

T21989809
Position Surface form Disambiguated ID Type / Status
Subject XML Infoset E543052 entity
Predicate relatedTo P37 FINISHED
Object XML 1.1 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 1.1 | Statement: [XML Infoset, relatedTo, XML 1.1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XML 1.1
Context triple: [XML Infoset, relatedTo, XML 1.1]
  • A. XML chosen
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • B. RDF 1.1 XML Syntax
    RDF 1.1 XML Syntax is a W3C specification that defines how RDF data is represented and serialized using XML.
  • C. XHTML
    XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
  • D. W3C XML Activity
    W3C XML Activity is a World Wide Web Consortium initiative focused on developing and maintaining XML-related standards and technologies that underpin structured data on the web.
  • E. RELAX NG
    RELAX NG is a schema language used to define and validate the structure and content of XML documents in a concise and flexible way.
  • 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_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.