Triple

T17559761
Position Surface form Disambiguated ID Type / Status
Subject CARP E427668 entity
Predicate implementedIn P2539 FINISHED
Object OPNsense 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: OPNsense | Statement: [CARP, implementedIn, OPNsense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPNsense
Context triple: [CARP, implementedIn, OPNsense]
  • A. OPNsense chosen
    OPNsense is an open-source, FreeBSD-based firewall and routing platform known for its user-friendly web interface, security features, and extensible plugin system.
  • B. pfSense
    pfSense is an open-source, FreeBSD-based firewall and router distribution widely used for network security and VPN solutions.
  • C. OpenWrt
    OpenWrt is a Linux-based, highly customizable open-source operating system primarily used on embedded devices and routers to provide advanced networking features and package management.
  • D. 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.
  • E. PureOS
    PureOS is a fully free, privacy-focused GNU/Linux distribution developed by Purism for its laptops and mobile devices.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562573e48190a19f30fe915a5455 completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.