Triple

T1720265
Position Surface form Disambiguated ID Type / Status
Subject SSH Communications Security E37372 entity
Predicate hasAbbreviation P43 FINISHED
Object SSH E1267 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: SSH | Statement: [SSH Communications Security, hasAbbreviation, SSH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSH
Context triple: [SSH Communications Security, hasAbbreviation, SSH]
  • A. SSH chosen
    SSH (Secure Shell) is a cryptographic network protocol used to securely access, manage, and transfer data between remote computers over unsecured networks.
  • 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 Communications Security
    SSH Communications Security is a Finnish cybersecurity company best known for developing and commercializing the Secure Shell (SSH) protocol and related secure communications solutions.
  • D. PuTTY
    PuTTY is a widely used free and open-source terminal emulator and network client for Windows and other platforms, supporting protocols like SSH, Telnet, and serial connections.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63558d7c8190830cb8ee2e4a8932 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5be1a2c819083b95d55c969b9d6 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.