Triple
T26006870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socket 754 |
E646783
|
entity |
| Predicate | supportedMemoryChannelConfiguration |
P53673
|
FINISHED |
| Object | single-channel |
—
|
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: single-channel | Statement: [Socket 754, supportedMemoryChannelConfiguration, single-channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedMemoryChannelConfiguration Context triple: [Socket 754, supportedMemoryChannelConfiguration, single-channel]
-
A.
maxMemoryChannels
Indicates the maximum number of memory channels that an entity can support or utilize.
-
B.
supportsChannels
chosen
Indicates that one entity is capable of handling, providing, or being compatible with one or more specified channels for communication, distribution, or operation.
-
C.
supportsMemoryBusWidth
Indicates that one entity is compatible with or able to operate using the specified memory bus width of another entity.
-
D.
memoryConfigurations
Indicates how memory resources are arranged, allocated, or structured within a system or component.
-
E.
maxRAMChipsSupported
Indicates the maximum number of RAM chips that a system or component can support.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: April 22, 2026, 9:01 a.m.