Triple
T6042466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReLU |
E134578
|
entity |
| Predicate | derivativeForNegativeInput |
P68347
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [ReLU, derivativeForNegativeInput, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivativeForNegativeInput Context triple: [ReLU, derivativeForNegativeInput, 0]
-
A.
hasDerivative
Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
-
B.
oppositeNumber
Indicates that one number is the additive inverse of the other, such that their sum equals zero.
-
C.
derivativeInDistributionSense
Indicates that one function is the derivative of another in the sense of distributions (generalized functions), rather than in the classical pointwise sense.
-
D.
hasDerivatives
Indicates that one entity is derived, obtained, or developed from another entity.
-
E.
derivativeRelation
Indicates that one entity is derived, obtained, or results from another through some transformation, computation, or dependency.
- F. None of above. chosen
Provenance (4 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e108fc81908775d176ff960fad |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.