Triple
T36489678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMT English-French dataset |
E899019
|
entity |
| Predicate | typicalPreprocessing |
—
|
GENERATED |
| Object | tokenization |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPreprocessing Context triple: [WMT English-French dataset, typicalPreprocessing, tokenization]
-
A.
typicalPreparation
Indicates the usual or standard way in which something is prepared or made.
-
B.
typicalProcess
chosen
Indicates that the related process is characteristic, usual, or commonly occurring for the given entity or context.
-
C.
typicalInitialization
Indicates the standard or commonly used way an entity is initially set up, configured, or brought into a valid starting state.
-
D.
processingUse
Indicates that one entity uses or applies another entity as part of a processing or transformation activity.
-
E.
standardBefore
Indicates that one standard must be satisfied, applied, or occur earlier in sequence or priority than another standard.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.