Triple

T3058523
Position Surface form Disambiguated ID Type / Status
Subject Microsoft 365 E5 E60539 entity
Predicate includes P1393 FINISHED
Object Excel E5278 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: Excel | Statement: [Microsoft 365 E5, includes, Excel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Excel
Context triple: [Microsoft 365 E5, includes, Excel]
  • A. Excel chosen
    Excel is a widely used spreadsheet software by Microsoft that enables data organization, analysis, visualization, and basic to advanced analytics through formulas, functions, and tools like PivotTables.
  • B. LibreOffice Calc
    LibreOffice Calc is the spreadsheet component of the free, open-source LibreOffice suite, offering tools for data analysis, calculation, and charting across multiple platforms.
  • C. Google Sheets
    Google Sheets is a cloud-based spreadsheet application by Google that enables users to create, edit, and collaboratively work on spreadsheets in real time through a web browser or mobile app.
  • D. Zoho Sheet
    Zoho Sheet is a cloud-based spreadsheet application by Zoho that supports collaborative editing, data analysis, and integration with other Zoho productivity tools.
  • E. Lotus 1-2-3
    Lotus 1-2-3 is a pioneering spreadsheet software program for personal computers that became a dominant business application in the 1980s.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e1741648190b710b7022252498d completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0903cc81909a073fe78dbf0b14 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.