Triple
T5029864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | airmon-zc |
E113268
|
entity |
| Predicate | maintainedBy |
P86
|
FINISHED |
| Object | Aircrack-ng project |
E20656
|
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: Aircrack-ng project | Statement: [airmon-zc, maintainedBy, Aircrack-ng project]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aircrack-ng project Context triple: [airmon-zc, maintainedBy, Aircrack-ng project]
-
A.
Aircrack‑ng
chosen
Aircrack‑ng is an open-source suite of tools used for auditing and cracking Wi‑Fi network security, including WEP and WPA/WPA2 encryption.
-
B.
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.
-
C.
Ettercap
Ettercap is a network security tool used for sniffing, intercepting, and manipulating traffic on local area networks, commonly employed for man-in-the-middle attacks and protocol analysis.
-
D.
John the Ripper
John the Ripper is a widely used open-source password cracking tool designed for security auditing and penetration testing.
-
E.
Social-Engineer Toolkit
Social-Engineer Toolkit is an open-source penetration testing framework focused on automating and simulating social engineering attacks such as phishing, credential harvesting, and other human-targeted exploits.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd739099a0819099c6201d4e1c5ee2 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c6859a88190bbf5688812f2eb91 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:36 p.m.