Triple
T30338334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embeddings from Language Models |
E771680
|
entity |
| Predicate | layerTypes |
P69308
|
FINISHED |
| Object | character CNN 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: character CNN layer | Statement: [Embeddings from Language Models, layerTypes, character CNN layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: layerTypes Context triple: [Embeddings from Language Models, layerTypes, character CNN layer]
-
A.
layerType
chosen
Indicates the specific kind or category of layer that an entity belongs to or is classified as.
-
B.
layerStructure
Indicates a relationship where one entity is organized in or assigned to a specific layer or hierarchical level within a structured system.
-
C.
layerName
Indicates that an entity is associated with a specific layer identified by a given name.
-
D.
layerOf
Indicates that one entity forms a distinct layer or stratum of another entity within a structured or composite whole.
-
E.
typicalLayerCount
Indicates the usual or standard number of layers associated with an entity.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f681cf69588190b1a6373ddf29dd6a |
completed | May 2, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:55 p.m.