Triple
T19693215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Network-in-Network architecture |
E472886
|
entity |
| Predicate | includesLayerType |
P101663
|
FINISHED |
| Object | convolutional layers |
—
|
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 layers | Statement: [Network-in-Network architecture, includesLayerType, convolutional layers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesLayerType Context triple: [Network-in-Network architecture, includesLayerType, convolutional layers]
-
A.
includesFeatureTypes
chosen
Indicates that an entity contains or encompasses specific types of features as part of its composition or definition.
-
B.
supportsLayerHierarchy
Indicates that one element can contain and organize other elements within a structured, ordered layer system.
-
C.
includesRouteType
Indicates that one entity’s set of routes contains or covers a specific type or category of route associated with another entity.
-
D.
layerType
Indicates the specific kind or category of layer that an entity belongs to or is classified as.
-
E.
isTypicallyLayered
Indicates that something is usually composed of multiple distinct layers arranged one on top of another.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64211e5d481908358d922e0dca271 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.