Triple
T452452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skype |
E7156
|
entity |
| Predicate | offers |
P178
|
FINISHED |
| Object | Skype Number |
E7156
|
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: Skype Number | Statement: [Skype, offers, Skype Number]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skype Number Context triple: [Skype, offers, Skype Number]
-
A.
Skype
chosen
Skype is a widely used internet-based communication service that enables voice calls, video chats, and instant messaging across computers and mobile devices.
-
B.
Skype for Business Online
Skype for Business Online was Microsoft's cloud-based enterprise communication and collaboration service that provided messaging, meetings, and voice capabilities before being succeeded by Microsoft Teams.
-
C.
SIM
SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
-
D.
Webex
Webex is Cisco’s cloud-based suite of video conferencing, online meeting, and team collaboration tools used by businesses and organizations worldwide.
-
E.
IMS
IMS (IP Multimedia Subsystem) is a standardized architectural framework for delivering IP-based multimedia services over mobile and fixed networks.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef854f7481909dc2207faf0327ec |
completed | Feb. 28, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44802e858819081a0b5b98bb25bce |
completed | March 1, 2026, 2:06 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.