Triple

T5767792
Position Surface form Disambiguated ID Type / Status
Subject XML technology stack E127255 entity
Predicate includesStandard P19701 FINISHED
Object XML Infoset E543052 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 Infoset | Statement: [XML technology stack, includesStandard, XML Infoset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XML Infoset
Context triple: [XML technology stack, includesStandard, XML Infoset]
  • A. XML Infoset chosen
    XML Infoset is a formal abstract model that defines the information content of an XML document independently of its textual representation, serving as a foundation for many XML-related technologies.
  • 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. XML Schema
    XML Schema is a W3C standard language used to define the structure, content, and data types of XML documents.
  • D. StAX
    StAX (Streaming API for XML) is a Java-based pull-parsing API that enables efficient, forward-only, stream-oriented processing of 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029731adc8190888adc8178a08e90 completed March 22, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a16ea7108190adb0756dac94c42c completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:49 p.m.