Triple

T19352209
Position Surface form Disambiguated ID Type / Status
Subject libpcap E484050 entity
Predicate usedBy P260 FINISHED
Object tcpdump NE NERFINISHED

How this triple was built (3 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: tcpdump | Statement: [libpcap, usedBy, tcpdump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tcpdump
Context triple: [libpcap, usedBy, tcpdump]
  • A. 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.
  • B. libpcap
    libpcap is a widely used packet capture library and file format for recording and analyzing network traffic across various tools and platforms.
  • C. WinPcap
    WinPcap is a Windows packet capture and network monitoring library that provides low-level network access for tools like Wireshark.
  • D. Berkeley Packet Filter
    Berkeley Packet Filter is a low-level, in-kernel virtual machine and instruction set originally designed for efficient packet capture and filtering in Unix-like operating systems.
  • E. Npcap
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: tcpdump
Target entity description: tcpdump is a widely used command-line network packet analyzer that captures and displays traffic passing over a network interface for troubleshooting and security analysis.
  • A. 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.
  • B. libpcap
    libpcap is a widely used packet capture library and file format for recording and analyzing network traffic across various tools and platforms.
  • C. WinPcap
    WinPcap is a Windows packet capture and network monitoring library that provides low-level network access for tools like Wireshark.
  • D. Berkeley Packet Filter
    Berkeley Packet Filter is a low-level, in-kernel virtual machine and instruction set originally designed for efficient packet capture and filtering in Unix-like operating systems.
  • E. Npcap
    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.
  • F. None of above. chosen

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.