Triple
T31632354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA GeForce RTX 4090 |
E807201
|
entity |
| Predicate | maxDisplayCount |
P172599
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [NVIDIA GeForce RTX 4090, maxDisplayCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxDisplayCount Context triple: [NVIDIA GeForce RTX 4090, maxDisplayCount, 4]
-
A.
displayCount
Indicates the number of times something is shown or presented, typically within a given context or interface.
-
B.
maxColorsOnScreen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
-
C.
maxNumberOfValues
Indicates the maximum count of distinct values that may be associated with a given entity or property in this relationship.
-
D.
maxSpritesOnScreen
Indicates the maximum number of sprites that are allowed to be displayed on the screen at the same time.
-
E.
replicasDisplayedIn
Indicates that replica versions of an item are presented or shown within a particular location, context, or medium.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 10:45 p.m.