Triple
T19352330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Npcap |
E484052
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Npcap DLL |
—
|
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: Npcap DLL | Statement: [Npcap, component, Npcap DLL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Npcap DLL Context triple: [Npcap, component, Npcap DLL]
-
A.
Npcap
chosen
Npcap is a high-performance packet capture and network monitoring library for Windows, commonly used by tools like Wireshark for low-level network traffic analysis.
-
B.
WinPcap
WinPcap is a Windows packet capture and network monitoring library that provides low-level network access for tools like Wireshark.
-
C.
libpcap
libpcap is a widely used packet capture library and file format for recording and analyzing network traffic across various tools and platforms.
-
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.
Windows Filtering Platform
Windows Filtering Platform is a set of APIs and system services in Microsoft Windows that enables developers and the operating system to create, manage, and filter network traffic at various layers of the networking stack.
- 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.