Triple
T9035302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATA-6 |
E216475
|
entity |
| Predicate | logicalChannelLimit |
P31492
|
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-6, logicalChannelLimit, 2 devices per channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalChannelLimit Context triple: [ATA-6, logicalChannelLimit, 2 devices per channel]
-
A.
maximumDevicesPerChannel
Indicates the highest number of devices that are allowed to be associated with or operate on a single channel.
-
B.
maxDevicesPerChannel
chosen
Indicates the maximum 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.
maxMemoryChannels
Indicates the maximum number of memory channels that an entity can support or utilize.
-
E.
hasChannelDepth
Indicates that one entity specifies or records the depth measurement of a channel associated with another entity.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6abf4af481908d21245332329d99 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:08 p.m.