Triple

T4600147
Position Surface form Disambiguated ID Type / Status
Subject OpenBSD E100302 entity
Predicate includesSoftware 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: [OpenBSD, includesSoftware, OpenSSH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenSSH
Context triple: [OpenBSD, includesSoftware, 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5971f448819090f6e76c7d3ffc2d completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa5a7aac8190b540b80816d55051 completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.