Triple
T15217876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modified National Institute of Standards and Technology database |
E363685
|
entity |
| Predicate | typicalInputShape |
P55165
|
FINISHED |
| Object | 28x28 |
—
|
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: 28x28 | Statement: [Modified National Institute of Standards and Technology database, typicalInputShape, 28x28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInputShape Context triple: [Modified National Institute of Standards and Technology database, typicalInputShape, 28x28]
-
A.
inputShape
chosen
Indicates the geometric form or configuration that is provided as input to a process, function, or system.
-
B.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
C.
hasShapeModel
Indicates that an entity is associated with a specific geometric or structural shape model that represents its form.
-
D.
torchShape
Indicates that one entity has the specified geometric or physical form of a torch.
-
E.
typicalResolution
Indicates the usual or standard level of detail or clarity at which something (such as an image, display, or representation) is normally rendered or presented.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:11 a.m.