Triple

T10157962
Position Surface form Disambiguated ID Type / Status
Subject RFC 6120 E233818 entity
Predicate area P175 FINISHED
Object Real-time Applications and Infrastructure E49792 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: Real-time Applications and Infrastructure | Statement: [RFC 6120, area, Real-time Applications and Infrastructure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Real-time Applications and Infrastructure
Context triple: [RFC 6120, area, Real-time Applications and Infrastructure]
  • A. Applications and Real-Time Area chosen
    The Applications and Real-Time Area is an IETF organizational division responsible for developing and standardizing protocols and technologies related to internet applications and real-time communications.
  • B. Real Application Clusters
    Real Application Clusters is an Oracle Database technology that enables multiple servers to run a single database instance concurrently for high availability and scalable performance.
  • C. 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.
  • D. Time-Sensitive Networking
    Time-Sensitive Networking is a set of IEEE 802 Ethernet standards that enable deterministic, low-latency, and highly reliable communication for real-time applications such as industrial automation, automotive, and professional audio/video.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5507f08190b47f797bacd5640c completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300acae608190891d8f55c3d5102b completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:09 p.m.