Triple
T1892067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PlayStation 5 |
E41894
|
entity |
| Predicate | systemMemory |
P9335
|
FINISHED |
| Object | 16 GB GDDR6 |
—
|
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: 16 GB GDDR6 | Statement: [PlayStation 5, systemMemory, 16 GB GDDR6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemMemory Context triple: [PlayStation 5, systemMemory, 16 GB GDDR6]
-
A.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
-
B.
hasRAM
chosen
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
C.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
D.
addressSpaceSize
Indicates the total amount of addressable memory or identifier range allocated or available within a given address space.
-
E.
primaryMemoryType
Indicates the main or dominant type of memory associated with or used by an entity in a given context.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb145f96c8190a71bb9e442892e68 |
completed | March 7, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69abafe61bc48190ac9ead027df930e1 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.