Triple

T4832081
Position Surface form Disambiguated ID Type / Status
Subject MediaWiki E107967 entity
Predicate supportsExtensions P203 FINISHED
Object VisualEditor
VisualEditor is a rich-text, WYSIWYG editing interface for MediaWiki that lets users edit wiki pages without needing to write wikitext markup.
E473154 NE FINISHED

How this triple was built (4 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: VisualEditor | Statement: [MediaWiki, supportsExtensions, VisualEditor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VisualEditor
Context triple: [MediaWiki, supportsExtensions, VisualEditor]
  • A. Magic Editor
    Magic Editor is an AI-powered photo editing feature on Google Pixel devices that lets users easily reframe, reposition, and enhance elements within their images.
  • B. TextEdit
    TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
  • C. MediaWiki
    MediaWiki is a free, open-source wiki software platform designed for collaborative editing of web pages, best known for powering Wikipedia and many other wikis.
  • D. Meta-Wiki
    Meta-Wiki is a central coordination and documentation wiki for Wikimedia projects, used for planning, discussion, and global community collaboration.
  • E. EDIT
    EDIT is a simple text editor included with the FreeDOS operating system, modeled after the classic MS-DOS Editor for creating and modifying plain text files.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VisualEditor
Triple: [MediaWiki, supportsExtensions, VisualEditor]
Generated description
VisualEditor is a rich-text, WYSIWYG editing interface for MediaWiki that lets users edit wiki pages without needing to write wikitext markup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VisualEditor
Target entity description: VisualEditor is a rich-text, WYSIWYG editing interface for MediaWiki that lets users edit wiki pages without needing to write wikitext markup.
  • A. Magic Editor
    Magic Editor is an AI-powered photo editing feature on Google Pixel devices that lets users easily reframe, reposition, and enhance elements within their images.
  • B. TextEdit
    TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
  • C. MediaWiki
    MediaWiki is a free, open-source wiki software platform designed for collaborative editing of web pages, best known for powering Wikipedia and many other wikis.
  • D. Meta-Wiki
    Meta-Wiki is a central coordination and documentation wiki for Wikimedia projects, used for planning, discussion, and global community collaboration.
  • E. EDIT
    EDIT is a simple text editor included with the FreeDOS operating system, modeled after the classic MS-DOS Editor for creating and modifying plain text files.
  • F. None of above. chosen

Provenance (5 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc924e08190b03a7541c629aff9 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dd4224c8190be7568bb611f81a3 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be51438c5881909f7456cdc3a60d98 completed March 21, 2026, 8:05 a.m.
NED2 Entity disambiguation (via description) batch_69be51a03f4c8190b04f0d3fe6486c24 completed March 21, 2026, 8:06 a.m.
Created at: March 20, 2026, 1:24 p.m.