Triple
T35631812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RS-MMC |
E1029607
|
entity |
| Predicate | physicalSizeComparedToMMC |
P183812
|
FINISHED |
| Object | approximately half the length of standard MMC |
—
|
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: approximately half the length of standard MMC | Statement: [RS-MMC, physicalSizeComparedToMMC, approximately half the length of standard MMC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalSizeComparedToMMC Context triple: [RS-MMC, physicalSizeComparedToMMC, approximately half the length of standard MMC]
-
A.
modelSize
Indicates the quantitative measure of how large or complex a model is, typically in terms of parameters, layers, or memory footprint.
-
B.
flashSizeMB
Indicates the amount of flash memory associated with an entity, measured in megabytes (MB).
-
C.
librarySizeApprox
Indicates that the size of a library (e.g., number of items, capacity, or volume) is known or treated as an approximate value rather than an exact measurement.
-
D.
discSize
Indicates the size or capacity of a disc in the relationship or context being described.
-
E.
rearScreenSize
Indicates the size or dimensions of a device’s rear display screen.
- F. None of above. chosen
Provenance (4 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.