Triple
T13320119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD Instinct |
E317291
|
entity |
| Predicate | includesModel |
P1393
|
FINISHED |
| Object | AMD Instinct MI300A |
E1040243
|
NE 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: AMD Instinct MI300A | Statement: [AMD Instinct, includesModel, AMD Instinct MI300A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMD Instinct MI300A Context triple: [AMD Instinct, includesModel, AMD Instinct MI300A]
-
A.
AMD Instinct MI300 series
chosen
The AMD Instinct MI300 series is a line of high-performance data center accelerators designed for AI, HPC, and advanced compute workloads.
-
B.
AMD Instinct MI100
AMD Instinct MI100 is a high-performance data center GPU accelerator from AMD designed primarily for high-performance computing (HPC) and AI workloads.
-
C.
AMD Instinct MI250X
The AMD Instinct MI250X is a high-performance data center GPU accelerator designed for exascale supercomputing, AI, and HPC workloads.
-
D.
NVIDIA A100
The NVIDIA A100 is a high-performance data center GPU designed for AI, high-performance computing, and data analytics workloads, featuring advanced Tensor Core acceleration.
-
E.
NVIDIA RTX A6000
The NVIDIA RTX A6000 is a high-end professional graphics card designed for demanding workloads like AI, data science, and advanced 3D content creation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990faa95481908a7fd297959c062e |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74612bab88190bf1a895b87be12c1 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 9:29 p.m.