Triple
T35969648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD Instinct MI300 series |
E1040243
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
AMD Instinct MI200 series
AMD Instinct MI200 series is a family of data center GPUs designed by AMD for high-performance computing and AI workloads, offering advanced parallel processing and energy efficiency.
|
E2172045
|
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 MI200 series | Statement: [AMD Instinct MI300 series, predecessor, AMD Instinct MI200 series]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AMD Instinct MI200 series Triple: [AMD Instinct MI300 series, predecessor, AMD Instinct MI200 series]
Generated description
AMD Instinct MI200 series is a family of data center GPUs designed by AMD for high-performance computing and AI workloads, offering advanced parallel processing and energy efficiency.
Provenance (5 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a390d30d510819091500ae2f624bcfc |
completed | June 22, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_6a390eaab52881909027bbc2cc2469ba |
completed | June 22, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a390f6f1ec88190b2fe251699996657 |
completed | June 22, 2026, 10:33 a.m. |
Created at: May 3, 2026, 4:07 p.m.