Triple

T7835972
Position Surface form Disambiguated ID Type / Status
Subject Cisco FabricPath E181691 entity
Predicate supportsTopology P203 FINISHED
Object Clos topology
Clos topology is a multi-stage, non-blocking network architecture commonly used in modern data centers to provide high bandwidth, low latency, and scalable connectivity between large numbers of devices.
E679889 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: Clos topology | Statement: [Cisco FabricPath, supportsTopology, Clos topology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clos topology
Context triple: [Cisco FabricPath, supportsTopology, Clos topology]
  • A. fat-tree network topology
    A fat-tree network topology is a hierarchical, tree-like interconnection structure for parallel and distributed systems that increases link bandwidth toward the root to avoid bottlenecks and provide high bisection bandwidth and scalability.
  • B. 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.
  • C. IEEE 802.1D MAC bridging standard
    The IEEE 802.1D MAC bridging standard is a networking specification that defines how Ethernet bridges and switches forward frames and prevent loops in local area networks, including the original Spanning Tree Protocol.
  • D. Link Aggregation Control Protocol
    Link Aggregation Control Protocol (LACP) is a network protocol that dynamically combines multiple physical Ethernet links into a single logical channel to increase bandwidth and provide redundancy between devices.
  • E. Rapid Spanning Tree Protocol
    Rapid Spanning Tree Protocol is a network protocol that provides faster convergence and improved loop prevention in Ethernet switched networks compared to the original Spanning Tree Protocol.
  • 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: Clos topology
Triple: [Cisco FabricPath, supportsTopology, Clos topology]
Generated description
Clos topology is a multi-stage, non-blocking network architecture commonly used in modern data centers to provide high bandwidth, low latency, and scalable connectivity between large numbers of devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clos topology
Target entity description: Clos topology is a multi-stage, non-blocking network architecture commonly used in modern data centers to provide high bandwidth, low latency, and scalable connectivity between large numbers of devices.
  • A. fat-tree network topology chosen
    A fat-tree network topology is a hierarchical, tree-like interconnection structure for parallel and distributed systems that increases link bandwidth toward the root to avoid bottlenecks and provide high bisection bandwidth and scalability.
  • B. 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.
  • C. IEEE 802.1D MAC bridging standard
    The IEEE 802.1D MAC bridging standard is a networking specification that defines how Ethernet bridges and switches forward frames and prevent loops in local area networks, including the original Spanning Tree Protocol.
  • D. Link Aggregation Control Protocol
    Link Aggregation Control Protocol (LACP) is a network protocol that dynamically combines multiple physical Ethernet links into a single logical channel to increase bandwidth and provide redundancy between devices.
  • E. Rapid Spanning Tree Protocol
    Rapid Spanning Tree Protocol is a network protocol that provides faster convergence and improved loop prevention in Ethernet switched networks compared to the original Spanning Tree Protocol.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064cb7e081909e88419863d94dfe completed March 30, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aa3f75881908e5380b5d8f86ea6 completed March 31, 2026, 5:24 a.m.
NEDg Description generation batch_69cb5f1afe0c8190916c7a9b2eab9270 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb765db28881909ac34071ec6889b3 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:46 p.m.