Triple

T18108937
Position Surface form Disambiguated ID Type / Status
Subject Track A: Algorithms, Complexity and Games E433421 entity
Predicate relatedTo P37 FINISHED
Object Track C: Foundations of Networked Computation
Track C: Foundations of Networked Computation is a conference track focused on the theoretical principles, models, and algorithms underlying distributed and networked computing systems.
E1307107 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: Track C: Foundations of Networked Computation | Statement: [Track A: Algorithms, Complexity and Games, relatedTo, Track C: Foundations of Networked Computation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Track C: Foundations of Networked Computation
Context triple: [Track A: Algorithms, Complexity and Games, relatedTo, Track C: Foundations of Networked Computation]
  • A. Communication Networks: A First Course
    Communication Networks: A First Course is a foundational textbook by Jean Walrand that introduces the principles, architectures, and performance analysis of modern communication networks.
  • 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. Communication Nets: Stochastic Message Flow and Delay
    "Communication Nets: Stochastic Message Flow and Delay" is a foundational book in queueing theory and computer networking that rigorously analyzes message traffic and delays in communication networks.
  • D. Elements of Distributed Algorithms
    Elements of Distributed Algorithms is a foundational textbook that systematically presents the principles, models, and key techniques used in the design and analysis of distributed algorithms.
  • E. High-Performance Communication Networks
    High-Performance Communication Networks is a widely used technical book that provides a comprehensive treatment of the design, analysis, and performance of modern communication networks and protocols.
  • 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: Track C: Foundations of Networked Computation
Triple: [Track A: Algorithms, Complexity and Games, relatedTo, Track C: Foundations of Networked Computation]
Generated description
Track C: Foundations of Networked Computation is a conference track focused on the theoretical principles, models, and algorithms underlying distributed and networked computing systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Track C: Foundations of Networked Computation
Target entity description: Track C: Foundations of Networked Computation is a conference track focused on the theoretical principles, models, and algorithms underlying distributed and networked computing systems.
  • A. Communication Networks: A First Course
    Communication Networks: A First Course is a foundational textbook by Jean Walrand that introduces the principles, architectures, and performance analysis of modern communication networks.
  • 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. Communication Nets: Stochastic Message Flow and Delay
    "Communication Nets: Stochastic Message Flow and Delay" is a foundational book in queueing theory and computer networking that rigorously analyzes message traffic and delays in communication networks.
  • D. Elements of Distributed Algorithms
    Elements of Distributed Algorithms is a foundational textbook that systematically presents the principles, models, and key techniques used in the design and analysis of distributed algorithms.
  • E. High-Performance Communication Networks
    High-Performance Communication Networks is a widely used technical book that provides a comprehensive treatment of the design, analysis, and performance of modern communication networks and protocols.
  • F. None of above. chosen

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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddbbfae88190aa77f498dbb9edcb completed April 19, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c3930e0819083b2355a0af67b72 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037dc3a150819085368bcf620e8768 completed May 12, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a037e99ae98819087afa088fb42e847 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 10:28 a.m.