Triple

T12367455
Position Surface form Disambiguated ID Type / Status
Subject Information-Centric Networking Research Group E294908 entity
Predicate relatedTo P37 FINISHED
Object Named Data Networking
Named Data Networking is a proposed future Internet architecture that focuses on retrieving data by name rather than by host location, enabling more efficient, secure, and content-centric communication.
E294908 NE FINISHED

How this triple was built (4 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: Named Data Networking | Statement: [Information-Centric Networking Research Group, relatedTo, Named Data Networking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Named Data Networking
Context triple: [Information-Centric Networking Research Group, relatedTo, Named Data Networking]
  • A. 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.
  • 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. 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.
  • D. Information-Centric Networking Research Group
    The Information-Centric Networking Research Group is an IRTF working group that explores architectures and protocols focused on named data and content retrieval rather than traditional host-based communication.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Named Data Networking
Triple: [Information-Centric Networking Research Group, relatedTo, Named Data Networking]
Generated description
Named Data Networking is a proposed future Internet architecture that focuses on retrieving data by name rather than by host location, enabling more efficient, secure, and content-centric communication.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Named Data Networking
Target entity description: Named Data Networking is a proposed future Internet architecture that focuses on retrieving data by name rather than by host location, enabling more efficient, secure, and content-centric communication.
  • A. 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.
  • 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. 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.
  • D. Information-Centric Networking Research Group chosen
    The Information-Centric Networking Research Group is an IRTF working group that explores architectures and protocols focused on named data and content retrieval rather than traditional host-based communication.
  • E. 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.
  • F. None of above.

Provenance (5 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa502988190ba170dee90d9f394 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abdad1c8190b083791d60138f2a completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be4de888190aac94d441748d295 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62d4d0b8881908aa6b67db7d14609 completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:54 p.m.