Triple

T8454315
Position Surface form Disambiguated ID Type / Status
Subject Dirac delta function E199880 entity
Predicate approximationSequence P59515 FINISHED
Object narrow Gaussian functions with unit area 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: narrow Gaussian functions with unit area | Statement: [Dirac delta function, approximationSequence, narrow Gaussian functions with unit area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximationSequence
Context triple: [Dirac delta function, approximationSequence, narrow Gaussian functions with unit area]
  • A. approximates
    Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
  • B. approximationFamily chosen
    Indicates a relationship where one entity serves as an approximation or approximate representation of another within a defined family or set of approximations.
  • C. approximationType
    Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
  • D. inceptionApproximation
    Indicates an approximate or estimated starting point or origin of something, rather than an exact inception time.
  • E. boundedByApprox
    Indicates that one quantity is constrained by another within an approximate or tolerance-based bound, rather than an exact strict limit.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48ca9988190b60ebd09a135194d completed March 31, 2026, 3:13 p.m.
PD Predicate disambiguation batch_69cbd0fc634481909842c0a30077bfde completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:10 p.m.