Triple
T2066623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZM |
E45914
|
entity |
| Predicate | underlyingCompanyCompetesWith |
P1375
|
FINISHED |
| Object | Cisco Webex |
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: Cisco Webex | Statement: [ZM, underlyingCompanyCompetesWith, Cisco Webex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cisco Webex Context triple: [ZM, underlyingCompanyCompetesWith, Cisco Webex]
-
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.
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.
-
C.
Polycom
Polycom is a telecommunications company best known for its audio and video conferencing solutions and collaboration technologies used in businesses worldwide.
-
D.
Lifesize Communications
Lifesize Communications is a company specializing in high-definition video conferencing and collaboration solutions for businesses.
-
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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbdc11a048190ba3bbc60f90f34e1 |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2722b5048190a78978a64167cda2 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:40 p.m.