Triple
T7980193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Core m3-8100Y |
E185550
|
entity |
| Predicate | maxMemoryChannels |
P80138
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Intel Core m3-8100Y, maxMemoryChannels, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxMemoryChannels Context triple: [Intel Core m3-8100Y, maxMemoryChannels, 2]
-
A.
maxDevicesPerChannel
Indicates the maximum number of devices that are allowed to be associated with or operate on a single channel.
-
B.
maximumDevicesPerChannel
Indicates the highest number of devices that are allowed to be associated with or operate on a single channel.
-
C.
maximumChannelWidth
Indicates the greatest allowable or observed width of a channel in the given context.
-
D.
numberOfAdditionalChannels
Indicates the quantity of extra channels added beyond a base or default set in a given context.
-
E.
maxSpatialStreams
Indicates the maximum number of simultaneous spatial data streams that can be used or supported in a communication or processing context.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c274ce48190854d389d43ce14b8 |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:14 p.m.