Triple
T18016261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DenseNet |
E431004
|
entity |
| Predicate | usesLayerType |
P69308
|
FINISHED |
| Object | convolutional layer |
—
|
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: convolutional layer | Statement: [DenseNet, usesLayerType, convolutional layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLayerType Context triple: [DenseNet, usesLayerType, convolutional layer]
-
A.
layerType
chosen
Indicates the specific kind or category of layer that an entity belongs to or is classified as.
-
B.
layerOf
Indicates that one entity forms a distinct layer or stratum of another entity within a structured or composite whole.
-
C.
isTypicallyLayered
Indicates that something is usually composed of multiple distinct layers arranged one on top of another.
-
D.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
-
E.
supportsLayerHierarchy
Indicates that one element can contain and organize other elements within a structured, ordered layer system.
- F. None of above.
Provenance (3 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b523f588819097389e067dda7f23 |
completed | April 19, 2026, 10:57 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.