Triple

T2134368
Position Surface form Disambiguated ID Type / Status
Subject Zoom Events E46614 entity
Predicate brandOwner P347 FINISHED
Object Zoom E7816 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: Zoom | Statement: [Zoom Events, brandOwner, Zoom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoom
Context triple: [Zoom Events, brandOwner, Zoom]
  • A. 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.
  • B. Zoom Video Communications chosen
    Zoom Video Communications is a technology company best known for its widely used cloud-based video conferencing and online collaboration platform.
  • C. Webex
    Webex is Cisco’s cloud-based suite of video conferencing, online meeting, and team collaboration tools used by businesses and organizations worldwide.
  • D. 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.
  • E. Zoho Meeting
    Zoho Meeting is an online web conferencing and webinar platform that enables users to host virtual meetings, screen sharing, and remote collaboration.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbba24004819091ffb9440e8615fa completed March 7, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51aa86ec8190acf86ac6b26ce4f1 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.