Triple
T1773793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATA-1 |
E38932
|
entity |
| Predicate | logicalUnitLimitPerChannel |
P4619
|
FINISHED |
| Object | 2 devices per 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: 2 devices per channel | Statement: [ATA-1, logicalUnitLimitPerChannel, 2 devices per channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalUnitLimitPerChannel Context triple: [ATA-1, logicalUnitLimitPerChannel, 2 devices per channel]
-
A.
maximumChannelWidth
Indicates the greatest allowable or observed width of a channel in the given context.
-
B.
gLimit
Indicates a constraint or maximum boundary imposed on the magnitude, rate, or extent of something within a given context.
-
C.
maximumDevicesPerBus
Indicates the maximum number of devices that are allowed to be connected to a single bus.
-
D.
maxDevicesPerBus
chosen
Indicates the maximum number of devices that are allowed to be connected to a single bus.
-
E.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.