Triple

T8248976
Position Surface form Disambiguated ID Type / Status
Subject Airgeddon E192909 entity
Predicate dependsOn P100 FINISHED
Object aircrack‑ng 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 | Statement: [Airgeddon, dependsOn, aircrack‑ng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: aircrack‑ng
Context triple: [Airgeddon, dependsOn, aircrack‑ng]
  • 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. 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. John the Ripper
    John the Ripper is a widely used open-source password cracking tool designed for security auditing and penetration testing.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c6b3c48190a3ecebf449766124 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd353888208190941d1c0b7b911cdd completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.