Triple
T16076495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD Instinct MI250X |
E389990
|
entity |
| Predicate | doublePrecisionPerformancePeak |
P88583
|
FINISHED |
| Object | ~47.9 TFLOPS |
—
|
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: ~47.9 TFLOPS | Statement: [AMD Instinct MI250X, doublePrecisionPerformancePeak, ~47.9 TFLOPS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doublePrecisionPerformancePeak Context triple: [AMD Instinct MI250X, doublePrecisionPerformancePeak, ~47.9 TFLOPS]
-
A.
floatingPointPerformance
chosen
Indicates the level of computational capability or efficiency an entity has when performing floating-point arithmetic operations.
-
B.
doubleType
Indicates that one entity is of a double-precision numeric type or that a value is being treated or converted as a double-precision floating-point number in relation to another entity.
-
C.
peakPerformanceRpeak
Indicates the point or condition at which an R-peak (in a signal such as an ECG) reaches its maximum or optimal performance level.
-
D.
supportsPrecisionLevels
Indicates that one entity is capable of operating at, or accommodating, multiple specified levels of precision in relation to another entity or process.
-
E.
precision
Indicates the degree to which an action, measurement, or outcome is carried out with exactness, minimal deviation, and fine-grained accuracy.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.