Triple

T10827827
Position Surface form Disambiguated ID Type / Status
Subject FreedomBox E255538 entity
Predicate supportsProtocol P203 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: [FreedomBox, supportsProtocol, WireGuard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WireGuard
Context triple: [FreedomBox, supportsProtocol, 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d2b9f88190b79a7b168d7836c8 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8592d8f08190ac577395ad7cc557 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.