Triple
T1717780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kali Linux |
E37327
|
entity |
| Predicate | includesTool |
P1393
|
FINISHED |
| Object | Wireshark |
E111861
|
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: Wireshark | Statement: [Kali Linux, includesTool, Wireshark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wireshark Context triple: [Kali Linux, includesTool, Wireshark]
-
A.
Wireshark
chosen
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.
-
B.
Aircrack‑ng
Aircrack‑ng is an open-source suite of tools used for auditing and cracking Wi‑Fi network security, including WEP and WPA/WPA2 encryption.
-
C.
NetFlow
NetFlow is a network protocol developed by Cisco for collecting and analyzing IP traffic flow data to support monitoring, accounting, and security.
-
D.
Reaver (WPS attack tool)
Reaver is a specialized Wi-Fi security tool designed to exploit vulnerabilities in the WPS (Wi-Fi Protected Setup) protocol in order to recover WPA/WPA2 passphrases.
-
E.
Cisco Packet Tracer
Cisco Packet Tracer is a network simulation and visualization tool developed by Cisco that allows users to design, configure, and troubleshoot virtual networks for learning and practice.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6337d8408190bdba8b50652d50ae |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ae6940c81909c1ebdfb0cdef5fc |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.