Triple

T3058524
Position Surface form Disambiguated ID Type / Status
Subject Microsoft 365 E5 E60539 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 E5, includes, PowerPoint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PowerPoint
Context triple: [Microsoft 365 E5, 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_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.