Triple

T10803713
Position Surface form Disambiguated ID Type / Status
Subject Chapman–Kolmogorov equation E254907 entity
Predicate discreteTimeForm P9753 FINISHED
Object P_{ij}(m+n) = \sum_k P_{ik}(m) P_{kj}(n) LITERAL FINISHED

How this triple was built (2 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: P_{ij}(m+n) = \sum_k P_{ik}(m) P_{kj}(n) | Statement: [Chapman–Kolmogorov equation, discreteTimeForm, P_{ij}(m+n) = \sum_k P_{ik}(m) P_{kj}(n)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discreteTimeForm
Context triple: [Chapman–Kolmogorov equation, discreteTimeForm, P_{ij}(m+n) = \sum_k P_{ik}(m) P_{kj}(n)]
  • A. timeDiscretizationFormula
    Indicates a relationship where a specific mathematical formula is used to convert or approximate continuous time into discrete time steps for analysis or computation.
  • B. timeContinuousOrDiscrete chosen
    Indicates whether the time dimension in a given context is modeled as a continuous flow or as discrete, separate time points.
  • C. timeDiscretization
    Indicates how a continuous or overall time period is divided into discrete intervals or steps for representation or processing.
  • D. discretizes
    Indicates that one entity converts or partitions another entity into a finite set of discrete parts, intervals, or categories.
  • E. finaleForm
    Indicates that one entity represents the final or ultimate form, version, or stage of another entity.
  • F. None of above.

Provenance (3 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69d6f3188f00819094ee8d65b187a333 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:18 p.m.