Triple
T3061141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows 32-bit |
E61998
|
entity |
| Predicate | typicalUsableRAMLimitOnClientEditions |
P9335
|
FINISHED |
| Object | around 3.2 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: around 3.2 GB | Statement: [Windows 32-bit, typicalUsableRAMLimitOnClientEditions, around 3.2 GB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUsableRAMLimitOnClientEditions Context triple: [Windows 32-bit, typicalUsableRAMLimitOnClientEditions, around 3.2 GB]
-
A.
minRAM
Indicates that an entity requires at least a specified minimum amount of RAM to function or be considered valid.
-
B.
hasRAM
chosen
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
C.
limitedSystemType
Indicates that the system is restricted to a specific subset or category of system types, rather than allowing all possible types.
-
D.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
-
E.
initialHardDriveCapacity
Indicates the original storage capacity of a hard drive at the time it was first provided, installed, or configured.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9e1e248190b5ed5ebcdad1321e |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.