Triple
T18016248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DenseNet |
E431004
|
entity |
| Predicate | connectsLayerType |
P845
|
FINISHED |
| Object | each layer to all subsequent layers in the same dense block |
—
|
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: each layer to all subsequent layers in the same dense block | Statement: [DenseNet, connectsLayerType, each layer to all subsequent layers in the same dense block]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsLayerType Context triple: [DenseNet, connectsLayerType, each layer to all subsequent layers in the same dense block]
-
A.
connectsDestinationType
Indicates that one entity serves as a connection or link specifically to a destination of a given type.
-
B.
connectorType
Indicates the specific kind or category of connection interface that links two entities.
-
C.
interconnectionType
Indicates the specific kind or nature of relationship that links two or more entities together.
-
D.
connectsTo
chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
E.
layerType
Indicates the specific kind or category of layer that an entity belongs to or is classified as.
- 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.