Triple
T31955384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA RTX 4000 SFF Ada Generation |
E815889
|
entity |
| Predicate | slotWidth |
P173054
|
FINISHED |
| Object | low-profile dual-slot |
—
|
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: low-profile dual-slot | Statement: [NVIDIA RTX 4000 SFF Ada Generation, slotWidth, low-profile dual-slot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slotWidth Context triple: [NVIDIA RTX 4000 SFF Ada Generation, slotWidth, low-profile dual-slot]
-
A.
spriteWidth
Indicates the horizontal size or extent of a sprite in units such as pixels.
-
B.
sectionWidthGranted
Indicates that a specific width has been allocated or approved for a section within a layout or structure.
-
C.
availableWidth
Indicates the amount of horizontal space that is currently free or usable within a given context or container.
-
D.
sideSpanLength
Indicates the length measurement of a side span in a multi-span structure relative to its other spans.
-
E.
widthInColumns
Indicates the number of column units that an element or item spans within a grid or layout.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:08 a.m.