Triple
T32062217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opus |
E818774
|
entity |
| Predicate | supportsChannelCount |
—
|
GENERATED |
| Object | mono |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsChannelCount Context triple: [Opus, supportsChannelCount, mono]
-
A.
supportsChannels
Indicates that one entity is capable of handling, providing, or being compatible with one or more specified channels for communication, distribution, or operation.
-
B.
hasChannelCount
chosen
Indicates that an entity is associated with a specific number of channels.
-
C.
supportsDeviceCount
Indicates the number of devices that a system, service, or component is capable of supporting concurrently.
-
D.
numberOfAdditionalChannels
Indicates the quantity of extra channels added beyond a base or default set in a given context.
-
E.
supportsNumberOfChannelsOnTypicalMotherboard
Indicates that an entity accommodates or is compatible with the typical number of channels provided on a standard motherboard.
- F. None of above.
Provenance (1 batch)
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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:22 a.m.