Triple
T9963095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OWASP ZAP |
E195615
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | OWASP Zed Attack Proxy |
E195615
|
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: OWASP Zed Attack Proxy | Statement: [OWASP ZAP, fullName, OWASP Zed Attack Proxy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OWASP Zed Attack Proxy Context triple: [OWASP ZAP, fullName, OWASP Zed Attack Proxy]
-
A.
OWASP ZAP
chosen
OWASP ZAP (Zed Attack Proxy) is an open-source web application security testing tool used to find vulnerabilities in web applications.
-
B.
Burp Suite
Burp Suite is a popular integrated platform for web application security testing, widely used by penetration testers to identify and exploit vulnerabilities.
-
C.
Burp Intruder
Burp Intruder is a powerful web application security testing tool within Burp Suite that automates customized attacks to discover vulnerabilities such as injection flaws and authentication weaknesses.
-
D.
BeEF
BeEF (Browser Exploitation Framework) is a penetration testing tool focused on exploiting web browsers to assess and demonstrate client-side security vulnerabilities.
-
E.
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.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb718cd588190a4aac48220deddec |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d993404819089c9a71d03721e0b |
completed | April 5, 2026, 10:46 a.m. |
Created at: March 30, 2026, 8:47 p.m.