Triple

T18530522
Position Surface form Disambiguated ID Type / Status
Subject Symfony Notifier E452819 entity
Predicate supportsChannel P8080 FINISHED
Object Webex Teams NE NERFINISHED

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: Webex Teams | Statement: [Symfony Notifier, supportsChannel, Webex Teams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Webex Teams
Context triple: [Symfony Notifier, supportsChannel, Webex Teams]
  • A. Webex chosen
    Webex is Cisco’s cloud-based suite of video conferencing, online meeting, and team collaboration tools used by businesses and organizations worldwide.
  • B. Zoho Meeting
    Zoho Meeting is an online web conferencing and webinar platform that enables users to host virtual meetings, screen sharing, and remote collaboration.
  • C. BlueJeans
    BlueJeans is a cloud-based video conferencing and collaboration platform used for virtual meetings, webinars, and remote communication.
  • D. Skype for Business Web App
    Skype for Business Web App is a browser-based client that lets users join and participate in Skype for Business meetings without installing the full desktop application.
  • E. Microsoft Teams
    Microsoft Teams is a collaboration and communication platform by Microsoft that provides chat, video conferencing, file sharing, and integration with other Microsoft 365 services for teams and organizations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fd0e348190ab3d4548f74b9b79 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.