Triple

T1647783
Position Surface form Disambiguated ID Type / Status
Subject CSV E35620 entity
Predicate openedBy P421 FINISHED
Object Microsoft 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: Microsoft Excel | Statement: [CSV, openedBy, Microsoft Excel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Microsoft Excel
Context triple: [CSV, openedBy, Microsoft 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. 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.
  • 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. VisiCalc
    VisiCalc was the first widely used personal computer spreadsheet program, credited with helping to popularize the Apple II and launching the spreadsheet software category.
  • E. Microsoft 365
    Microsoft 365 is a subscription-based suite of productivity and collaboration tools that combines Office applications with cloud services, security features, and device management.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a640ea88190822906da575d5165 completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a4bd5481908b46f44364c15592 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:29 p.m.