Triple

T14547479
Position Surface form Disambiguated ID Type / Status
Subject RFC 3650 E341325 entity
Predicate relatedTo P37 FINISHED
Object Internet architecture E61004 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: Internet architecture | Statement: [RFC 3650, relatedTo, Internet architecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Internet architecture
Context triple: [RFC 3650, relatedTo, Internet architecture]
  • A. Internet architecture chosen
    Internet architecture is the overarching design framework and set of principles that define how the global network of interconnected computer systems and protocols operates and evolves.
  • B. Internet naming architecture
    Internet naming architecture is the conceptual and technical framework that defines how human-readable names are structured, managed, and resolved to network resources across the Internet.
  • C. Department 5: Internet Architecture
    Department 5: Internet Architecture is a research division of the Max Planck Institute for Informatics that focuses on the design, analysis, and optimization of internet and networked systems.
  • D. Internet Protocol
    Internet Protocol is the core networking protocol that defines how data packets are addressed and routed across interconnected computer networks, forming the foundation of the modern internet.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ebdf9481909f4d2da1ad31099c completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a6344b08190a3c1124c6dd7da96 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:23 a.m.