Triple
T17559760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CARP |
E427668
|
entity |
| Predicate | implementedIn |
P2539
|
FINISHED |
| Object | pfSense |
—
|
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: pfSense | Statement: [CARP, implementedIn, pfSense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: pfSense Context triple: [CARP, implementedIn, 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.
DD-WRT
DD-WRT is a Linux-based open-source firmware for wireless routers and access points that adds advanced networking, security, and management features beyond stock router software.
-
E.
UniFI
UniFI is the commonly used abbreviation for the University of Florence, a major public research university in Florence, Italy.
- 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.