Triple
T7869947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisco NX-OS |
E182711
|
entity |
| Predicate | supportsFeature |
P203
|
FINISHED |
| Object | sFlow |
E663658
|
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: sFlow | Statement: [Cisco NX-OS, supportsFeature, sFlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sFlow Context triple: [Cisco NX-OS, supportsFeature, sFlow]
-
A.
sFlow
chosen
sFlow is a network traffic monitoring and sampling technology used to provide real-time visibility into network usage and performance across switches and routers.
-
B.
NetFlow
NetFlow is a network protocol developed by Cisco for collecting and analyzing IP traffic flow data to support monitoring, accounting, and security.
-
C.
IPFIX
IPFIX (IP Flow Information Export) is an IETF standard protocol for exporting network flow information from routers, probes, and other devices for traffic analysis, accounting, and security monitoring.
-
D.
SNMP
SNMP (Simple Network Management Protocol) is a standard Internet protocol used to monitor, manage, and configure network devices such as routers, switches, and servers.
-
E.
ThousandEyes
ThousandEyes is a network intelligence and digital experience monitoring company, best known for its internet and cloud visibility platform that helps organizations troubleshoot and optimize application performance across complex, distributed environments.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b6bc7248190adbf4377c52e16a9 |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:55 p.m.