Triple

T6408960
Position Surface form Disambiguated ID Type / Status
Subject NetBSD E127657 entity
Predicate includes P1393 FINISHED
Object OpenSSH E265444 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: OpenSSH | Statement: [NetBSD, includes, OpenSSH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenSSH
Context triple: [NetBSD, includes, OpenSSH]
  • A. OpenSSH chosen
    OpenSSH is a widely used open-source suite of secure networking tools that provides encrypted remote login, file transfer, and tunneling capabilities, primarily via the SSH protocol.
  • B. SSH Tectia
    SSH Tectia is a commercial enterprise-grade secure shell solution providing encrypted remote access, file transfer, and tunneling for mission-critical systems.
  • C. SSH
    SSH (Secure Shell) is a cryptographic network protocol used to securely access, manage, and transfer data between remote computers over unsecured networks.
  • D. SSH
    SSH is the IATA airport code for Sharm El Sheikh International Airport, a major tourist gateway on Egypt’s Red Sea coast.
  • E. Dropbear SSH
    Dropbear SSH is a lightweight, open-source SSH server and client implementation designed for embedded systems and resource-constrained environments.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cdf25881908d42a5d979637ad6 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638b38c888190aa2433173db64c90 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:41 p.m.