Triple

T19719535
Position Surface form Disambiguated ID Type / Status
Subject Walter Willinger E473566 entity
Predicate notableWork P4 FINISHED
Object Self-Similarity in High-Speed Packet Traffic
"Self-Similarity in High-Speed Packet Traffic" is a seminal research paper that revealed and analyzed the self-similar, long-range dependent nature of network traffic, fundamentally changing how Internet traffic is modeled and understood.
E1391359 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: Self-Similarity in High-Speed Packet Traffic | Statement: [Walter Willinger, notableWork, Self-Similarity in High-Speed Packet Traffic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Self-Similarity in High-Speed Packet Traffic
Context triple: [Walter Willinger, notableWork, Self-Similarity in High-Speed Packet Traffic]
  • A. Congestion Avoidance and Control (SIGCOMM 1988)
    Congestion Avoidance and Control (SIGCOMM 1988) is Van Jacobson’s seminal paper that introduced key TCP congestion control algorithms, fundamentally improving Internet stability and performance.
  • B. Simulation-based comparisons of Tahoe, Reno, and SACK TCP
    "Simulation-based Comparisons of Tahoe, Reno, and SACK TCP" is a widely cited research paper in computer networking that evaluates and contrasts the performance of different TCP variants using simulation.
  • C. An Introduction to Queueing Networks
    An Introduction to Queueing Networks is a foundational textbook by Jean Walrand that systematically presents the theory, modeling, and analysis of queueing networks in operations research and computer and communication systems.
  • D. Priority-based Flow Control
    Priority-based Flow Control is an Ethernet link-layer mechanism that enables lossless data transmission for selected traffic classes by pausing specific priorities instead of the entire link.
  • E. Jacobson congestion control algorithm
    The Jacobson congestion control algorithm is a foundational TCP/IP network mechanism that introduced techniques like slow start and congestion avoidance to dramatically improve Internet stability and performance.
  • 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: Self-Similarity in High-Speed Packet Traffic
Triple: [Walter Willinger, notableWork, Self-Similarity in High-Speed Packet Traffic]
Generated description
"Self-Similarity in High-Speed Packet Traffic" is a seminal research paper that revealed and analyzed the self-similar, long-range dependent nature of network traffic, fundamentally changing how Internet traffic is modeled and understood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Self-Similarity in High-Speed Packet Traffic
Target entity description: "Self-Similarity in High-Speed Packet Traffic" is a seminal research paper that revealed and analyzed the self-similar, long-range dependent nature of network traffic, fundamentally changing how Internet traffic is modeled and understood.
  • A. Congestion Avoidance and Control (SIGCOMM 1988)
    Congestion Avoidance and Control (SIGCOMM 1988) is Van Jacobson’s seminal paper that introduced key TCP congestion control algorithms, fundamentally improving Internet stability and performance.
  • B. Simulation-based comparisons of Tahoe, Reno, and SACK TCP
    "Simulation-based Comparisons of Tahoe, Reno, and SACK TCP" is a widely cited research paper in computer networking that evaluates and contrasts the performance of different TCP variants using simulation.
  • C. An Introduction to Queueing Networks
    An Introduction to Queueing Networks is a foundational textbook by Jean Walrand that systematically presents the theory, modeling, and analysis of queueing networks in operations research and computer and communication systems.
  • D. Priority-based Flow Control
    Priority-based Flow Control is an Ethernet link-layer mechanism that enables lossless data transmission for selected traffic classes by pausing specific priorities instead of the entire link.
  • E. Jacobson congestion control algorithm
    The Jacobson congestion control algorithm is a foundational TCP/IP network mechanism that introduced techniques like slow start and congestion avoidance to dramatically improve Internet stability and performance.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64410e5548190b60e13603b6c0053 completed April 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07aba543908190a30c61bf4406ea74 completed May 15, 2026, 11:26 p.m.
NEDg Description generation batch_6a07acc9e5488190ba55f47af118fca2 completed May 15, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_6a07ad8aefc4819098768025121123ba completed May 15, 2026, 11:34 p.m.
Created at: April 10, 2026, 1:46 p.m.