Triple
T8248138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nmap |
E192896
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Nmap Scripting Engine |
E192896
|
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: Nmap Scripting Engine | Statement: [Nmap, hasComponent, Nmap Scripting Engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nmap Scripting Engine Context triple: [Nmap, hasComponent, Nmap Scripting Engine]
-
A.
Nmap
chosen
Nmap is a widely used open-source network scanning and security auditing tool that discovers hosts and services on computer networks.
-
B.
Nessus
Nessus is a centaur in Greek mythology best known for his role in the death of Heracles after deceitfully causing the poisoned garment incident.
-
C.
Nessus
Nessus is a widely used vulnerability scanning tool that identifies security weaknesses in networks, systems, and applications.
-
D.
Metasploit Framework
Metasploit Framework is an open-source penetration testing platform widely used for developing, testing, and executing exploits against remote targets.
-
E.
OpenVAS
OpenVAS is an open-source vulnerability scanning and management framework used to assess and improve the security of computer networks and systems.
- 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_69cd680b0f608190b69336228346b47d |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:48 p.m.