Triple

T11654202
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Loop E276976 entity
Predicate integratesWith P1075 FINISHED
Object Microsoft Word E56704 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: Microsoft Word | Statement: [Microsoft Loop, integratesWith, Microsoft Word]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Microsoft Word
Context triple: [Microsoft Loop, integratesWith, Microsoft Word]
  • A. Word chosen
    Word is Microsoft’s widely used word processing application for creating, editing, and formatting text documents.
  • B. Microsoft Office
    Microsoft Office is a widely used suite of productivity applications developed by Microsoft, including programs for word processing, spreadsheets, presentations, email, and more.
  • C. Corel WordPerfect Office
    Corel WordPerfect Office is an office productivity suite by Corel that includes word processing, spreadsheet, presentation, and related tools, historically popular as an alternative to Microsoft Office.
  • D. WordPad
    WordPad is a basic word processing application for Microsoft Windows that offers more features than Notepad but fewer than full office suites like Microsoft Word.
  • E. Microsoft Word for Macintosh
    Microsoft Word for Macintosh is the classic Mac-specific version of Microsoft’s word processing software, designed to integrate with the early Macintosh graphical user interface and features.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3cee010819089cffdbefe5a6efb completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08fa01ba88190a4fa5a74fe96cfa9 completed April 28, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:39 p.m.