Triple

T1590525
Position Surface form Disambiguated ID Type / Status
Subject Webex E34167 entity
Predicate hasComponent P35 FINISHED
Object Webex Devices E34167 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: Webex Devices | Statement: [Webex, hasComponent, Webex Devices]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Webex Devices
Context triple: [Webex, hasComponent, Webex Devices]
  • 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. Polycom
    Polycom is a telecommunications company best known for its audio and video conferencing solutions and collaboration technologies used in businesses worldwide.
  • C. Lifesize Communications
    Lifesize Communications is a company specializing in high-definition video conferencing and collaboration solutions for businesses.
  • D. Zoom Video Communications
    Zoom Video Communications is a technology company best known for its widely used cloud-based video conferencing and online collaboration platform.
  • E. Cisco TelePresence portfolio
    The Cisco TelePresence portfolio is a suite of high-end video conferencing and collaboration solutions designed to provide immersive, real-time communication experiences for businesses and organizations.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa621526e8819097d8c5330e527ed3 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad680b40908190acf505992848dae9 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:27 p.m.