Triple
T18724381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BERT_BASE |
E457858
|
entity |
| Predicate | numLayers |
P6578
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [BERT_BASE, numLayers, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numLayers Context triple: [BERT_BASE, numLayers, 12]
-
A.
layerNumber
Indicates the specific position or index of a layer within an ordered stack or layered structure.
-
B.
numberOfLevels
chosen
Indicates the total count of hierarchical layers, stages, or floors associated with an entity.
-
C.
hasNumberOfOccupationLayers
Indicates the number of distinct occupation layers or strata associated with an entity, such as levels of use, settlement, or functional roles.
-
D.
hasNumberOfWeightLayers
Indicates the relationship that specifies how many distinct weight layers are present in a given model or structure.
-
E.
layerOf
Indicates that one entity forms a distinct layer or stratum of another entity within a structured or composite whole.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56abcfc048190a01dee959e768768 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:50 a.m.