Triple

T7151449
Position Surface form Disambiguated ID Type / Status
Subject Fourier transform infrared spectroscopy E166699 entity
Predicate dataProcessedBy P35348 FINISHED
Object Fourier transform algorithm 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: Fourier transform algorithm | Statement: [Fourier transform infrared spectroscopy, dataProcessedBy, Fourier transform algorithm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataProcessedBy
Context triple: [Fourier transform infrared spectroscopy, dataProcessedBy, Fourier transform algorithm]
  • A. dataProcessingStyle
    Indicates the manner, method, or approach by which data is processed or handled in a given context.
  • B. dataProcessingInequality
    Indicates that processing data through a (possibly noisy) transformation cannot increase the information one variable has about another, so the mutual information between them can only stay the same or decrease.
  • C. dataPortal
    Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
  • D. dataAcquisition
    Indicates the process by which one entity obtains, collects, or retrieves data from another source or system.
  • E. processingUse chosen
    Indicates that one entity uses or applies another entity as part of a processing or transformation activity.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f3e4a88190a3110f2368262528 completed March 27, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69c6e1caf4e48190b47bb398a3c1554d completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:46 p.m.