Triple

T21990133
Position Surface form Disambiguated ID Type / Status
Subject XML Base E543060 entity
Predicate fullName P16 FINISHED
Object XML Base 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 Base | Statement: [XML Base, fullName, XML Base]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XML Base
Context triple: [XML Base, fullName, XML Base]
  • A. XML Base chosen
    XML Base is a W3C specification that defines a way to establish base URIs in XML documents so that relative URIs can be resolved consistently.
  • B. 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.
  • C. XML
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • D. XML Schema
    XML Schema is a W3C standard language used to define the structure, content, and data types of XML documents.
  • E. GBXML
    GBXML (Green Building XML) is an open schema used to facilitate the transfer of building information models into energy and environmental performance analysis tools.
  • 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.