Triple
T35959498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujitsu A64FX |
E1039956
|
entity |
| Predicate | onPackageMemoryCapacity |
P33363
|
FINISHED |
| Object | 32 GB |
—
|
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: 32 GB | Statement: [Fujitsu A64FX, onPackageMemoryCapacity, 32 GB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onPackageMemoryCapacity Context triple: [Fujitsu A64FX, onPackageMemoryCapacity, 32 GB]
-
A.
memoryOnPackage
chosen
Indicates that a memory component is mounted directly on top of, or within the same physical package as, another device or chip.
-
B.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
-
C.
ramCapacity
Indicates the amount of system memory (RAM) that an entity possesses or supports.
-
D.
installedCapacity
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
-
E.
maximumPackSize
Indicates the largest number of items or units that are allowed or intended to be grouped together in a single pack.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.