Triple

T10628754
Position Surface form Disambiguated ID Type / Status
Subject RFC 1661 E250392 entity
Predicate relatedTo P37 FINISHED
Object PPP Network Control Protocols E816308 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: PPP Network Control Protocols | Statement: [RFC 1661, relatedTo, PPP Network Control Protocols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PPP Network Control Protocols
Context triple: [RFC 1661, relatedTo, PPP Network Control Protocols]
  • A. Network Control Protocol
    Network Control Protocol was an early host-to-host communication protocol that formed the basis of data transmission on the ARPANET before the adoption of TCP/IP.
  • B. Link Control Protocol for PPP chosen
    Link Control Protocol for PPP is a core component of the Point-to-Point Protocol that negotiates and configures data-link connection parameters between two network nodes.
  • C. Data and Computer Communications
    Data and Computer Communications is a widely used textbook by William Stallings that provides a comprehensive introduction to data communications, networking, and computer communication protocols.
  • D. ARPANET Interface Message Processor platform
    The ARPANET Interface Message Processor platform was the specialized packet-switching computer system that formed the backbone of the early ARPANET, handling data routing between host machines in the first large-scale packet-switched network.
  • E. 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.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df92f8388190a8bcff96809d8eb4 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96babc290819096c0c914d038ba01 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 8:59 p.m.