Triple
T7151504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fourier transform spectrometer |
E166700
|
entity |
| Predicate | dataProcessingStep |
P35348
|
FINISHED |
| Object | apodization |
—
|
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: apodization | Statement: [Fourier transform spectrometer, dataProcessingStep, apodization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataProcessingStep Context triple: [Fourier transform spectrometer, dataProcessingStep, apodization]
-
A.
dataProcessingStyle
Indicates the manner, method, or approach by which data is processed or handled in a given context.
-
B.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
C.
processingUse
chosen
Indicates that one entity uses or applies another entity as part of a processing or transformation activity.
-
D.
documentedProcess
Indicates that a process has been formally recorded, described, or specified in documentation.
-
E.
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.
- 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.