Triple

T1634403
Position Surface form Disambiguated ID Type / Status
Subject Google Docs E35329 entity
Predicate integratesWith P1075 FINISHED
Object Google Slides E35330 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: Google Slides | Statement: [Google Docs, integratesWith, Google Slides]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Slides
Context triple: [Google Docs, integratesWith, Google Slides]
  • A. Google Slides chosen
    Google Slides is a web-based presentation application by Google that lets users create, edit, collaborate on, and present slide decks online.
  • B. PowerPoint
    PowerPoint is a widely used Microsoft presentation software application for creating, editing, and delivering slide-based visual presentations.
  • C. 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.
  • D. Google Docs
    Google Docs is a cloud-based word processing application by Google that allows users to create, edit, and collaborate on documents in real time through a web browser or mobile app.
  • E. Google Sites
    Google Sites is a web-based tool from Google that lets users easily create and share simple websites without needing to write code.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a1679408190a9faa7b22c388c4b completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d9db5c819081408977834ad606 completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.