Triple
T26006954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socket AM2 |
E646785
|
entity |
| Predicate | supportedMemoryChannels |
P80138
|
FINISHED |
| Object | dual-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: dual-channel | Statement: [Socket AM2, supportedMemoryChannels, dual-channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedMemoryChannels Context triple: [Socket AM2, supportedMemoryChannels, dual-channel]
-
A.
maxMemoryChannels
chosen
Indicates the maximum number of memory channels that an entity can support or utilize.
-
B.
supportsMemoryBusWidth
Indicates that one entity is compatible with or able to operate using the specified memory bus width of another entity.
-
C.
maxRAMChipsSupported
Indicates the maximum number of RAM chips that a system or component can support.
-
D.
supportsNumberOfChannelsOnTypicalMotherboard
Indicates that an entity accommodates or is compatible with the typical number of channels provided on a standard motherboard.
-
E.
supportsLPDDR4XMemory
Indicates that an entity is compatible with and can operate using LPDDR4X memory modules.
- 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_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 22, 2026, 9:01 a.m.