Triple
T1116748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learning representations by back-propagating errors |
E11117
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | landmark paper in machine learning |
C6844
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: landmark paper in machine learning Context triple: [Learning representations by back-propagating errors, instanceOf, landmark paper in machine learning]
-
A.
machine learning book
A machine learning book is a structured, written resource that explains the theories, algorithms, and practical applications of machine learning to help readers understand and apply data-driven modeling techniques.
-
B.
machine learning library
A machine learning library is a collection of tools, algorithms, and interfaces that simplifies building, training, evaluating, and deploying machine learning models.
-
C.
machine learning framework
A machine learning framework is a software library or platform that provides tools, abstractions, and workflows to design, train, evaluate, and deploy machine learning models efficiently.
-
D.
landmark case
A landmark case is a court decision that establishes a significant new legal principle or precedent, often reshaping the interpretation or application of the law.
-
E.
landmark decision
A landmark decision is a court ruling that establishes a significant new legal principle or precedent, often reshaping the interpretation or application of the law.
- F. None of above. chosen
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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
Created at: March 1, 2026, 7:43 p.m.