Triple
T38309168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TR4 |
E1033637
|
entity |
| Predicate | supportsMultiDIMMPerChannel |
P204593
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [TR4, supportsMultiDIMMPerChannel, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultiDIMMPerChannel Context triple: [TR4, supportsMultiDIMMPerChannel, yes]
-
A.
supportsNumberOfChannelsOnTypicalMotherboard
Indicates that an entity accommodates or is compatible with the typical number of channels provided on a standard motherboard.
-
B.
maxRAMChipsSupported
Indicates the maximum number of RAM chips that a system or component can support.
-
C.
supportsSIMMType
Indicates that one entity is capable of operating with, accepting, or being compatible with a specified SIMM (Single Inline Memory Module) type.
-
D.
supportsMemoryBusWidth
Indicates that one entity is compatible with or able to operate using the specified memory bus width of another entity.
-
E.
supportsSymmetricMultiprocessing
Indicates that an entity provides or is compatible with symmetric multiprocessing, allowing multiple processors to share memory and workload equally.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.