Triple
T36489806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LRCN |
E899022
|
entity |
| Predicate | featureExtractionBy |
—
|
GENERATED |
| Object | convolutional neural network |
—
|
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: featureExtractionBy Context triple: [LRCN, featureExtractionBy, convolutional neural network]
-
A.
sharesFeatureExtractor
chosen
Indicates that two or more models or components use the same feature extraction mechanism or module.
-
B.
featuresMethod
Indicates that an entity includes or provides a particular method as part of its functionality or behavior.
-
C.
featuresRepresentationOf
Indicates that one entity visually or symbolically depicts, portrays, or includes a representation of another entity.
-
D.
featuresTransformationOf
Indicates that something includes or presents a transformation or change applied to another entity.
-
E.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
- 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.