Triple

T8572397
Position Surface form Disambiguated ID Type / Status
Subject RFC 875 E202958 entity
Predicate title P38 FINISHED
Object Gateways, architectures, and Telnet protocol
"Gateways, architectures, and Telnet protocol" is an early Internet standards document (RFC 875) that discusses design considerations for network gateways and system architectures in relation to the Telnet remote login protocol.
E742485 NE FINISHED

How this triple was built (4 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: Gateways, architectures, and Telnet protocol | Statement: [RFC 875, title, Gateways, architectures, and Telnet protocol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gateways, architectures, and Telnet protocol
Context triple: [RFC 875, title, Gateways, architectures, and Telnet protocol]
  • A. Network-in-Network architecture
    Network-in-Network architecture is a convolutional neural network design that replaces traditional linear convolution layers with micro multilayer perceptrons (MLPs) to enhance feature abstraction and model expressiveness.
  • B. Telnet Timing Mark Option
    The Telnet Timing Mark Option is a protocol extension that allows a Telnet client and server to coordinate and measure end-to-end transmission delays by inserting special timing mark commands into the data stream.
  • C. Gateways
    "Gateways" is a horror-thriller novel by F. Paul Wilson featuring his recurring character Repairman Jack as he investigates sinister mysteries in a secluded Florida community.
  • D. Next Generation Network architectures
    Next Generation Network architectures are advanced telecommunications frameworks that integrate voice, data, and multimedia services over a unified, packet-based IP infrastructure to enable flexible, scalable, and service-agnostic communication.
  • E. Telnet
    Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gateways, architectures, and Telnet protocol
Triple: [RFC 875, title, Gateways, architectures, and Telnet protocol]
Generated description
"Gateways, architectures, and Telnet protocol" is an early Internet standards document (RFC 875) that discusses design considerations for network gateways and system architectures in relation to the Telnet remote login protocol.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gateways, architectures, and Telnet protocol
Target entity description: "Gateways, architectures, and Telnet protocol" is an early Internet standards document (RFC 875) that discusses design considerations for network gateways and system architectures in relation to the Telnet remote login protocol.
  • A. Network-in-Network architecture
    Network-in-Network architecture is a convolutional neural network design that replaces traditional linear convolution layers with micro multilayer perceptrons (MLPs) to enhance feature abstraction and model expressiveness.
  • B. Telnet Timing Mark Option
    The Telnet Timing Mark Option is a protocol extension that allows a Telnet client and server to coordinate and measure end-to-end transmission delays by inserting special timing mark commands into the data stream.
  • C. Gateways
    "Gateways" is a horror-thriller novel by F. Paul Wilson featuring his recurring character Repairman Jack as he investigates sinister mysteries in a secluded Florida community.
  • D. Next Generation Network architectures
    Next Generation Network architectures are advanced telecommunications frameworks that integrate voice, data, and multimedia services over a unified, packet-based IP infrastructure to enable flexible, scalable, and service-agnostic communication.
  • E. Telnet
    Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
  • F. None of above. chosen

Provenance (5 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea43843c8190ac2224d427bb7a75 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce898cf8648190b52758b6ecf2959b completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8a9df47c81909ba9ef8dff1db7b1 completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8b48841c8190bcf11aeb25355649 completed April 2, 2026, 3:29 p.m.
Created at: March 30, 2026, 6:21 p.m.