Triple
T7849665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communication Nets: Stochastic Message Flow and Delay |
E182011
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object |
Queueing Systems, Volume 1: Theory
Queueing Systems, Volume 1: Theory is a foundational textbook by Leonard Kleinrock that rigorously develops the mathematical theory of queueing processes and their applications in communication and computer systems.
|
E699938
|
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: Queueing Systems, Volume 1: Theory | Statement: [Communication Nets: Stochastic Message Flow and Delay, relatedWork, Queueing Systems, Volume 1: Theory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queueing Systems, Volume 1: Theory Context triple: [Communication Nets: Stochastic Message Flow and Delay, relatedWork, Queueing Systems, Volume 1: Theory]
-
A.
Khinchin–Pollaczek formula
The Khinchin–Pollaczek formula is a result in probability theory and queueing theory that provides an explicit expression for the stationary waiting-time distribution in certain single-server queues.
-
B.
Modern Probability Theory and Its Applications
"Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
-
C.
Lusser's law of series system reliability
Lusser's law of series system reliability is a principle in reliability engineering stating that the overall reliability of a series system equals the product of the reliabilities of its individual components, causing system reliability to decrease as more components are added.
-
D.
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.
-
E.
Introduction to Stochastic Control Theory
Introduction to Stochastic Control Theory is a foundational textbook that systematically develops the theory and methods for controlling dynamical systems under uncertainty using probabilistic and stochastic-process tools.
- 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: Queueing Systems, Volume 1: Theory Triple: [Communication Nets: Stochastic Message Flow and Delay, relatedWork, Queueing Systems, Volume 1: Theory]
Generated description
Queueing Systems, Volume 1: Theory is a foundational textbook by Leonard Kleinrock that rigorously develops the mathematical theory of queueing processes and their applications in communication and computer systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queueing Systems, Volume 1: Theory Target entity description: Queueing Systems, Volume 1: Theory is a foundational textbook by Leonard Kleinrock that rigorously develops the mathematical theory of queueing processes and their applications in communication and computer systems.
-
A.
Khinchin–Pollaczek formula
The Khinchin–Pollaczek formula is a result in probability theory and queueing theory that provides an explicit expression for the stationary waiting-time distribution in certain single-server queues.
-
B.
Modern Probability Theory and Its Applications
"Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
-
C.
Lusser's law of series system reliability
Lusser's law of series system reliability is a principle in reliability engineering stating that the overall reliability of a series system equals the product of the reliabilities of its individual components, causing system reliability to decrease as more components are added.
-
D.
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.
-
E.
Introduction to Stochastic Control Theory
Introduction to Stochastic Control Theory is a foundational textbook that systematically develops the theory and methods for controlling dynamical systems under uncertainty using probabilistic and stochastic-process tools.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18e989ac819090e459b77d8932d3 |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b0515c08190b866a39749d54849 |
completed | March 31, 2026, 5:26 a.m. |
| NEDg | Description generation | batch_69cb762eab0881909c5035b3086dfdd9 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb801cc0c8190864d28e199eb5e67 |
completed | March 31, 2026, 12:03 p.m. |
Created at: March 30, 2026, 4:50 p.m.