Triple

T16702973
Position Surface form Disambiguated ID Type / Status
Subject Mozilla VPN E405894 entity
Predicate usesTechnology P1485 FINISHED
Object WireGuard E233811 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: WireGuard | Statement: [Mozilla VPN, usesTechnology, WireGuard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WireGuard
Context triple: [Mozilla VPN, usesTechnology, WireGuard]
  • A. WireGuard VPN protocol chosen
    WireGuard VPN protocol is a modern, lightweight, and high-performance virtual private network protocol focused on simplicity and strong cryptographic security.
  • B. OpenVPN
    OpenVPN is an open-source virtual private network (VPN) solution that enables secure, encrypted connections over the internet for remote access and site-to-site networking.
  • C. Teredo
    Teredo is a tunneling protocol that enables IPv6 connectivity for devices on IPv4 networks, particularly those behind NAT.
  • D. TUN
    TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
  • E. Avast SecureLine VPN
    Avast SecureLine VPN is a virtual private network service by Avast that encrypts internet traffic and masks users’ IP addresses to enhance online privacy and security.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38333a6908190a17d2dee2ca622d6 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.