Triple
T19352265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WinPcap |
E484051
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Snort |
—
|
NE NERFINISHED |
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: Snort | Statement: [WinPcap, usedBy, Snort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snort Context triple: [WinPcap, usedBy, Snort]
-
A.
Snort
chosen
Snort is an open-source network intrusion detection and prevention system (NIDS/NIPS) widely used for real-time traffic analysis and packet logging.
-
B.
Suricata
Suricata is an open-source, high-performance network threat detection engine that provides intrusion detection, intrusion prevention, and network security monitoring capabilities.
-
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.
NIDS
NIDS is Japan’s principal defense think tank and research institute, providing strategic studies, policy analysis, and military history research for the Ministry of Defense.
-
E.
IronPort
IronPort is an email and web security company best known for its high-performance anti-spam and anti-malware gateway appliances, later acquired by Cisco Systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61905b16881909ab0e932bb9a0cda |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.