Triple
T22819642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randomized ReLU |
E565191
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | RReLU |
—
|
NE NERFINISHED |
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: RReLU | Statement: [Randomized ReLU, hasAbbreviation, RReLU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RReLU Context triple: [Randomized ReLU, hasAbbreviation, RReLU]
-
A.
ReLU
ReLU (Rectified Linear Unit) is a widely used activation function in neural networks that outputs zero for negative inputs and the input value itself for positive inputs, enabling efficient and stable training of deep models.
-
B.
Randomized ReLU
chosen
Randomized ReLU is a neural network activation function that introduces randomness into the slope of the negative part of the ReLU to improve robustness and generalization.
-
C.
RMSProp
RMSProp is an adaptive gradient-based optimization algorithm commonly used to efficiently train deep neural networks by adjusting learning rates for individual parameters.
-
D.
RBM
RBM is a global partnership initiative dedicated to coordinating and scaling up efforts to prevent, control, and ultimately eliminate malaria worldwide.
-
E.
NLL
The NLL (National Lacrosse League) is North America’s premier professional indoor box lacrosse league.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcf39a88190bec26affc304236d |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:33 p.m.