Triple
T9931336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MD5 |
E192654
|
entity |
| Predicate | outputSize |
P21839
|
FINISHED |
| Object | 128 bits |
—
|
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: 128 bits | Statement: [MD5, outputSize, 128 bits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputSize Context triple: [MD5, outputSize, 128 bits]
-
A.
sampleSize
Indicates the number of units, observations, or instances included in a particular study, experiment, or dataset.
-
B.
modelSize
Indicates the quantitative measure of how large or complex a model is, typically in terms of parameters, layers, or memory footprint.
-
C.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
D.
stateSizeBytes
chosen
Indicates the size of a given state or stateful data in terms of the number of bytes it occupies.
-
E.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b54f348190b8e70e7beff6098a |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.