Triple

T17598808
Position Surface form Disambiguated ID Type / Status
Subject OPNsense E428639 entity
Predicate supportsVPNProtocol P35980 FINISHED
Object OpenVPN 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: OpenVPN | Statement: [OPNsense, supportsVPNProtocol, OpenVPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenVPN
Context triple: [OPNsense, supportsVPNProtocol, OpenVPN]
  • A. OpenVPN chosen
    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.
  • B. 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.
  • C. Norton Secure VPN
    Norton Secure VPN is a consumer-focused virtual private network service that provides encrypted internet connections and online privacy protection across multiple devices.
  • D. Mozilla VPN
    Mozilla VPN is a privacy-focused virtual private network service developed by the Mozilla Foundation, known for its emphasis on security, transparency, and user rights.
  • E. OPNsense
    OPNsense is an open-source, FreeBSD-based firewall and routing platform known for its user-friendly web interface, security features, and extensible plugin system.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c474e5481909d2736241b592dab completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.