Triple

T13636664
Position Surface form Disambiguated ID Type / Status
Subject RFC 2474 E325864 entity
Predicate relatedTo P37 FINISHED
Object Differentiated Services architecture E1054075 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: Differentiated Services architecture | Statement: [RFC 2474, relatedTo, Differentiated Services architecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Differentiated Services architecture
Context triple: [RFC 2474, relatedTo, Differentiated Services architecture]
  • A. Differentiated Services Working Group chosen
    The Differentiated Services Working Group is an IETF body that developed the Differentiated Services (DiffServ) architecture for scalable, class-based quality of service in IP networks.
  • B. Classless Inter-Domain Routing
    Classless Inter-Domain Routing (CIDR) is an IP addressing and routing scheme that replaces traditional class-based networks to enable more efficient allocation of IP address space and improved route aggregation on the internet.
  • C. The Addition of Explicit Congestion Notification (ECN) to IP
    The Addition of Explicit Congestion Notification (ECN) to IP is an IETF standard (RFC 3168) that specifies how IP and TCP can signal and respond to network congestion without relying solely on packet loss.
  • 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. 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.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794307c288190a0f4629bf5e2b0d9 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:51 p.m.