Triple
T12367456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information-Centric Networking Research Group |
E294908
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Content-Centric Networking
Content-Centric Networking is a networking paradigm that focuses on naming, securing, and retrieving data by its content rather than by host locations, aiming to improve efficiency, scalability, and robustness of information delivery on the Internet.
|
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: Content-Centric Networking | Statement: [Information-Centric Networking Research Group, relatedTo, Content-Centric Networking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Content-Centric Networking Context triple: [Information-Centric Networking Research Group, relatedTo, Content-Centric 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.
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.
-
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.
Towards a New Architecture
Towards a New Architecture is a seminal 1923 architectural treatise by Le Corbusier that advocates for modernist design principles grounded in industrialization, functionalism, and new construction technologies.
- 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: Content-Centric Networking Triple: [Information-Centric Networking Research Group, relatedTo, Content-Centric Networking]
Generated description
Content-Centric Networking is a networking paradigm that focuses on naming, securing, and retrieving data by its content rather than by host locations, aiming to improve efficiency, scalability, and robustness of information delivery on the Internet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Content-Centric Networking Target entity description: Content-Centric Networking is a networking paradigm that focuses on naming, securing, and retrieving data by its content rather than by host locations, aiming to improve efficiency, scalability, and robustness of information delivery on the Internet.
-
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.
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.
-
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.
Towards a New Architecture
Towards a New Architecture is a seminal 1923 architectural treatise by Le Corbusier that advocates for modernist design principles grounded in industrialization, functionalism, and new construction technologies.
- 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.