Triple
T19771992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascade-Correlation learning architecture |
E474908
|
entity |
| Predicate | hiddenUnitConnectionPattern |
P137270
|
FINISHED |
| Object | new hidden units connect to all existing network units |
—
|
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: new hidden units connect to all existing network units | Statement: [Cascade-Correlation learning architecture, hiddenUnitConnectionPattern, new hidden units connect to all existing network units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hiddenUnitConnectionPattern Context triple: [Cascade-Correlation learning architecture, hiddenUnitConnectionPattern, new hidden units connect to all existing network units]
-
A.
hiddenSize
Indicates the size or dimensionality of the internal representation used within a model or component that is not directly exposed as output.
-
B.
usesFullyConnectedLayersAtEnd
Indicates that the model’s architecture concludes with one or more fully connected (dense) layers applied after preceding layers or modules.
-
C.
hasNeuralNetwork
Indicates that an entity possesses, incorporates, or is equipped with a neural network.
-
D.
hasNetworkStructure
Indicates that one entity possesses, exhibits, or is organized according to a particular network-based structure defined by another entity or specification.
-
E.
transmissionPattern
Indicates how something is passed or spread from one entity to another, such as the mode or route of transmission.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535ce4d08190a1dfca2df95a8631 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:48 p.m.