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 |
—
|
NE NERFINISHED |
How this triple was built (3 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.
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 (2 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. |
Created at: April 10, 2026, 10:28 a.m.