Triple

T15502577
Position Surface form Disambiguated ID Type / Status
Subject Khinchin–Pollaczek formula E378997 entity
Predicate instanceOf P0 FINISHED
Object result in queueing theory C8028 CONCEPT FINISHED

How this triple was built (1 step)

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.

CD Concept disambiguation gpt-5-mini-2025-08-07
Target class: result in queueing theory
Context triple: [Khinchin–Pollaczek formula, instanceOf, result in queueing theory]
  • A. result in probability theory chosen
    In probability theory, a result is a formally stated and proven fact—such as a theorem, lemma, or corollary—that describes a property or relationship involving probabilistic concepts like random variables, events, or distributions.
  • B. result in order theory
    A result in order theory is a formally proven statement or theorem about the properties, structures, or relationships of ordered sets and order-preserving mappings.
  • C. active queue management algorithm
    An active queue management algorithm is a network mechanism that proactively controls packet queues by selectively dropping or marking packets before buffers overflow to reduce congestion, latency, and packet loss.
  • D. object in optimal stopping theory
    An object in optimal stopping theory is an abstract entity (such as a stochastic process, payoff function, or stopping rule) whose evolution or evaluation over time determines when it is best to stop observing and take an action to maximize expected reward or minimize expected cost.
  • E. result in real analysis
    In real analysis, a result is a proven mathematical statement—such as a theorem, lemma, proposition, or corollary—that establishes a specific property or relationship about real-valued functions, sequences, sets, or structures on the real numbers.
  • F. None of above.

Provenance (1 batch)

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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
Created at: April 10, 2026, 3:54 a.m.