Triple
T7428052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NetFlow |
E171416
|
entity |
| Predicate | standardizedAs |
P1371
|
FINISHED |
| Object | IPFIX |
E663657
|
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: IPFIX | Statement: [NetFlow, standardizedAs, IPFIX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IPFIX Context triple: [NetFlow, standardizedAs, IPFIX]
-
A.
IPFIX
chosen
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.
-
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.
sFlow
sFlow is a network traffic monitoring and sampling technology used to provide real-time visibility into network usage and performance across switches and routers.
-
D.
Wireshark
Wireshark is a widely used open-source network protocol analyzer that captures and interactively inspects traffic on computer networks for troubleshooting, analysis, and security auditing.
-
E.
MPLS
MPLS (Multiprotocol Label Switching) is a high-performance routing technique that directs data through a network using short path labels instead of long network addresses, enabling efficient traffic engineering and VPN services.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f306bfe481909f99f6792de95ffc |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827829a848190afca7b5f79c51c7c |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:12 p.m.