Triple
T9026941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam460ex |
E216070
|
entity |
| Predicate | supportsMemoryCapacity |
P83125
|
FINISHED |
| Object | up to 2 GB DDR2 |
—
|
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: up to 2 GB DDR2 | Statement: [Sam460ex, supportsMemoryCapacity, up to 2 GB DDR2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMemoryCapacity Context triple: [Sam460ex, supportsMemoryCapacity, up to 2 GB DDR2]
-
A.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
-
B.
supportsMemoryProtection
Indicates that one entity provides mechanisms to prevent unauthorized access or interference with another entity’s memory space.
-
C.
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.
-
D.
capacityRecord
Indicates a recorded measure of how much of a resource, space, or system is available or can be utilized at a given time.
-
E.
ramCapacity
chosen
Indicates the amount of system memory (RAM) that an entity possesses or supports.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7eb5b881908ace0c3327f06161 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.