Triple

T23362895
Position Surface form Disambiguated ID Type / Status
Subject RFC 4038 E593232 entity
Predicate title P38 FINISHED
Object Application Aspects of IPv6 Transition NE NERFINISHED

How this triple was built (3 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: Application Aspects of IPv6 Transition | Statement: [RFC 4038, title, Application Aspects of IPv6 Transition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Application Aspects of IPv6 Transition
Context triple: [RFC 4038, title, Application Aspects of IPv6 Transition]
  • A. Mobile IPv6
    Mobile IPv6 is an extension of the IPv6 protocol that enables devices to maintain continuous internet connectivity and the same IP address while moving across different networks.
  • B. 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.
  • C. TURN Extension for IPv6
    TURN Extension for IPv6 is an IETF specification that updates the Traversal Using Relays around NAT (TURN) protocol to support IPv6 and IPv4/IPv6 interworking for real-time communication across network address translators.
  • D. 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.
  • E. IPv6 Maintenance Working Group
    The IPv6 Maintenance Working Group is an IETF group responsible for maintaining and evolving the core IPv6 protocol specifications and related standards.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Application Aspects of IPv6 Transition
Target entity description: "Application Aspects of IPv6 Transition" is an IETF RFC that analyzes how the move from IPv4 to IPv6 affects Internet applications and outlines considerations and best practices for ensuring their compatibility during the transition.
  • A. Mobile IPv6
    Mobile IPv6 is an extension of the IPv6 protocol that enables devices to maintain continuous internet connectivity and the same IP address while moving across different networks.
  • B. 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.
  • C. TURN Extension for IPv6
    TURN Extension for IPv6 is an IETF specification that updates the Traversal Using Relays around NAT (TURN) protocol to support IPv6 and IPv4/IPv6 interworking for real-time communication across network address translators.
  • D. 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.
  • E. IPv6 Maintenance Working Group
    The IPv6 Maintenance Working Group is an IETF group responsible for maintaining and evolving the core IPv6 protocol specifications and related standards.
  • F. None of above. chosen

Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aa0ed88190b0198cbfd1bcc59b completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.