Triple

T1295417
Position Surface form Disambiguated ID Type / Status
Subject ARPANET protocol suite E27642 entity
Predicate hasComponent P35 FINISHED
Object Telnet 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 | Statement: [ARPANET protocol suite, hasComponent, Telnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telnet
Context triple: [ARPANET protocol suite, hasComponent, Telnet]
  • 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. 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.
  • C. 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.
  • D. TFTP
    TFTP (Trivial File Transfer Protocol) is a simple, lightweight file transfer protocol commonly used for tasks like network booting and device configuration in constrained environments.
  • E. RFC 854
    RFC 854 is the foundational Internet standard that specifies the Telnet protocol for remote, text-based communication over TCP/IP networks.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f4031481908f5e3a53d8a72929 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc4078081908ba799745ce442ae completed March 7, 2026, 10:55 p.m.
Created at: March 1, 2026, 7:51 p.m.