Triple
T8435757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Original Chip Set |
E199218
|
entity |
| Predicate | DMAChannels |
P83354
|
FINISHED |
| Object | multiple independent DMA channels |
—
|
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: multiple independent DMA channels | Statement: [Original Chip Set, DMAChannels, multiple independent DMA channels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DMAChannels Context triple: [Original Chip Set, DMAChannels, multiple independent DMA channels]
-
A.
audioChannels
Indicates the number or configuration of distinct audio signal paths (such as mono, stereo, or surround) used in a recording, transmission, or playback.
-
B.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
-
C.
usesSeparateChannelFor
Indicates that one entity communicates with or accesses another entity through a distinct, dedicated channel separate from other communications or interactions.
-
D.
numberOfAdditionalChannels
Indicates the quantity of extra channels added beyond a base or default set in a given context.
-
E.
analogChannel
Indicates a relationship where a channel carries or transmits signals in analog (continuously varying) form rather than digital form.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:08 p.m.