Triple

T19719536
Position Surface form Disambiguated ID Type / Status
Subject Walter Willinger E473566 entity
Predicate notableWork P4 FINISHED
Object On the Self-Similar Nature of Ethernet Traffic
"On the Self-Similar Nature of Ethernet Traffic" is a landmark research paper that revealed and analyzed the fractal-like, long-range dependent behavior of Ethernet network traffic, fundamentally influencing modern network modeling and performance analysis.
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: On the Self-Similar Nature of Ethernet Traffic | Statement: [Walter Willinger, notableWork, On the Self-Similar Nature of Ethernet Traffic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On the Self-Similar Nature of Ethernet Traffic
Context triple: [Walter Willinger, notableWork, On the Self-Similar Nature of Ethernet Traffic]
  • A. 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.
  • B. On the Validity of Poisson Models for Network Traffic
    "On the Validity of Poisson Models for Network Traffic" is a highly influential research paper that critically examines and challenges the traditional use of Poisson processes to model Internet and network traffic, highlighting the importance of self-similarity and long-range dependence.
  • C. 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.
  • D. The Addition of Explicit Congestion Notification (ECN) to IP
    The Addition of Explicit Congestion Notification (ECN) to IP is an IETF standard (RFC 3168) that specifies how IP and TCP can signal and respond to network congestion without relying solely on packet loss.
  • E. 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.
  • 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: On the Self-Similar Nature of Ethernet Traffic
Triple: [Walter Willinger, notableWork, On the Self-Similar Nature of Ethernet Traffic]
Generated description
"On the Self-Similar Nature of Ethernet Traffic" is a landmark research paper that revealed and analyzed the fractal-like, long-range dependent behavior of Ethernet network traffic, fundamentally influencing modern network modeling and performance analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: On the Self-Similar Nature of Ethernet Traffic
Target entity description: "On the Self-Similar Nature of Ethernet Traffic" is a landmark research paper that revealed and analyzed the fractal-like, long-range dependent behavior of Ethernet network traffic, fundamentally influencing modern network modeling and performance analysis.
  • A. Self-Similarity in High-Speed Packet Traffic chosen
    "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.
  • B. On the Validity of Poisson Models for Network Traffic
    "On the Validity of Poisson Models for Network Traffic" is a highly influential research paper that critically examines and challenges the traditional use of Poisson processes to model Internet and network traffic, highlighting the importance of self-similarity and long-range dependence.
  • C. 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.
  • D. The Addition of Explicit Congestion Notification (ECN) to IP
    The Addition of Explicit Congestion Notification (ECN) to IP is an IETF standard (RFC 3168) that specifies how IP and TCP can signal and respond to network congestion without relying solely on packet loss.
  • E. 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.
  • 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_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_6a07b4ec24548190826f8dc75f1de8b7 completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b7600d788190821ed051d074c190 completed May 16, 2026, 12:16 a.m.
NED2 Entity disambiguation (via description) batch_6a07b7c789688190aed9fabf4c68fe1b completed May 16, 2026, 12:18 a.m.
Created at: April 10, 2026, 1:46 p.m.