Triple

T1631580
Position Surface form Disambiguated ID Type / Status
Subject RFC 854 E35267 entity
Predicate defines P264 FINISHED
Object Telnet end-of-line conventions E5624 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: Telnet end-of-line conventions | Statement: [RFC 854, defines, Telnet end-of-line conventions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telnet end-of-line conventions
Context triple: [RFC 854, defines, Telnet end-of-line conventions]
  • A. Telnet chosen
    Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
  • B. Terminal
    Terminal is the built-in command-line interface application for macOS that allows users to interact with the operating system using text-based commands.
  • C. RFC 854
    RFC 854 is the foundational Internet standard that specifies the Telnet protocol for remote, text-based communication over TCP/IP networks.
  • D. TCP/IP
    TCP/IP is the fundamental communication protocol suite that enables data transmission and networking across the internet and most modern computer networks.
  • E. LisaTerminal
    LisaTerminal was a terminal emulation application for the Apple Lisa that allowed the computer to connect to and interact with remote mainframes and minicomputers.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909f5ae98819091ce5e00eb4256a2 completed March 5, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d79bc88190bfc62f53dd8e8b90 completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.