Triple
T35959644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summit |
E1039959
|
entity |
| Predicate | nonVolatileMemoryPerNode |
P184285
|
FINISHED |
| Object | 1.6 TB NVMe storage |
—
|
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: 1.6 TB NVMe storage | Statement: [Summit, nonVolatileMemoryPerNode, 1.6 TB NVMe storage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonVolatileMemoryPerNode Context triple: [Summit, nonVolatileMemoryPerNode, 1.6 TB NVMe storage]
-
A.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
-
B.
memoryConfigurations
Indicates how memory resources are arranged, allocated, or structured within a system or component.
-
C.
cpusPerNode
Indicates the number of CPU units allocated or available on each individual node in a system or cluster.
-
D.
maxRAMChipsSupported
Indicates the maximum number of RAM chips that a system or component can support.
-
E.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.