Triple

T576331
Position Surface form Disambiguated ID Type / Status
Subject Google Contacts E13765 entity
Predicate integratesWith P1075 FINISHED
Object Google Meet E72238 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 Meet | Statement: [Google Contacts, integratesWith, Google Meet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Meet
Context triple: [Google Contacts, integratesWith, Google Meet]
  • A. Google Meet chosen
    Google Meet is a video conferencing service by Google that enables online meetings, voice calls, and screen sharing for individuals, businesses, and educational institutions.
  • B. Webex
    Webex is Cisco’s cloud-based suite of video conferencing, online meeting, and team collaboration tools used by businesses and organizations worldwide.
  • C. Google Chat
    Google Chat is a business-focused messaging platform by Google that supports direct messages, group conversations, and integrated collaboration within the Google Workspace ecosystem.
  • D. Zoom
    Zoom is a built-in macOS accessibility feature that magnifies on-screen content to make it easier for users with low vision to see and interact with their display.
  • E. Zoom Video Webinars
    Zoom Video Webinars is a virtual event platform from Zoom that enables hosts to broadcast interactive, large-scale online presentations and seminars to remote audiences.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b68cc808190b1ba45bdad78443d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e23bce481908404040b848ba9c1 completed March 2, 2026, 4:12 a.m.
Created at: March 1, 2026, 7:33 p.m.