Triple

T11939922
Position Surface form Disambiguated ID Type / Status
Subject SCC E284147 entity
Predicate standsFor P590 FINISHED
Object Secure Copy Client E845118 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: Secure Copy Client | Statement: [SCC, standsFor, Secure Copy Client]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secure Copy Client
Context triple: [SCC, standsFor, Secure Copy Client]
  • A. SFTP (SSH File Transfer Protocol)
    SFTP (SSH File Transfer Protocol) is a network protocol that provides encrypted file transfer and management over a secure SSH connection.
  • B. WinSCP chosen
    WinSCP is a popular open-source Windows client for secure file transfer and file management over protocols like SFTP, SCP, and FTP.
  • C. rsync
    rsync is a widely used open-source utility for fast, incremental file transfer and synchronization across local and remote systems.
  • D. SSH Tectia
    SSH Tectia is a commercial enterprise-grade secure shell solution providing encrypted remote access, file transfer, and tunneling for mission-critical systems.
  • E. FTPS
    FTPS is a secure extension of the File Transfer Protocol that adds support for Transport Layer Security (TLS) encryption to protect data in transit.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903415d2481909d84e6727454b9fe completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4409a40dc81909d87c50601b98b78 completed May 1, 2026, 5:56 a.m.
Created at: April 8, 2026, 9:45 p.m.