Triple

T9900385
Position Surface form Disambiguated ID Type / Status
Subject BSD E182265 entity
Predicate influenced P9 FINISHED
Object pfSense E427673 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: pfSense | Statement: [BSD, influenced, pfSense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: pfSense
Context triple: [BSD, influenced, pfSense]
  • A. pfSense chosen
    pfSense is an open-source, FreeBSD-based firewall and router distribution widely used for network security and VPN solutions.
  • B. 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.
  • 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. UniFI
    UniFI is the commonly used abbreviation for the University of Florence, a major public research university in Florence, Italy.
  • E. TrueNAS
    TrueNAS is an open-source network-attached storage (NAS) operating system known for its robust ZFS-based storage, data protection features, and web-based management interface.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e0705c8190bd17e36aff615cdd completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb1b9534819093c5150f1ed8f685 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.