Triple

T2727992
Position Surface form Disambiguated ID Type / Status
Subject Microsoft 365 E3 E60239 entity
Predicate includes P1393 FINISHED
Object PowerPoint E34629 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: PowerPoint | Statement: [Microsoft 365 E3, includes, PowerPoint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PowerPoint
Context triple: [Microsoft 365 E3, includes, PowerPoint]
  • A. PowerPoint chosen
    PowerPoint is a widely used Microsoft presentation software application for creating, editing, and delivering slide-based visual presentations.
  • B. LibreOffice Impress
    LibreOffice Impress is the free, open-source presentation component of the LibreOffice suite, used to create and display slide-based presentations across multiple platforms.
  • C. Prezi
    Prezi is a cloud-based presentation software known for its zoomable, non-linear canvas that offers a more dynamic alternative to traditional slide-based tools.
  • D. PPT
    PPT is a political organization that functioned as one of the constituent parties within East Timor’s National Council of Timorese Resistance during the struggle for independence.
  • E. Google Slides
    Google Slides is a web-based presentation application by Google that lets users create, edit, collaborate on, and present slide decks online.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdacffa6481909df37335e8fdd595 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69aa8b081909c57e8a7f64d0913 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:56 p.m.