Triple
T6953614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DD 5.1 |
E161187
|
entity |
| Predicate | numberOfFullRangeChannels |
P74258
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [DD 5.1, numberOfFullRangeChannels, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFullRangeChannels Context triple: [DD 5.1, numberOfFullRangeChannels, 5]
-
A.
hasFullBandwidthChannels
Indicates that the subject possesses communication channels that operate at the maximum or designated full data transmission capacity.
-
B.
numberOfAdditionalChannels
Indicates the quantity of extra channels added beyond a base or default set in a given context.
-
C.
hasNumberOfAmplifierChannels
Indicates the relationship that specifies how many amplifier channels are present or supported in the associated entity.
-
D.
maximumDevicesPerChannel
Indicates the highest number of devices that are allowed to be associated with or operate on a single channel.
-
E.
maxDevicesPerChannel
Indicates the maximum number of devices that are allowed to be associated with or operate on a single channel.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6dacb524c81909aade2282a4c0c01 |
completed | March 27, 2026, 7:30 p.m. |
Created at: March 27, 2026, 2:29 p.m.