Triple
T16430949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atmospheric Imaging Assembly |
E399068
|
entity |
| Predicate | hasNumberOfChannels |
P82796
|
FINISHED |
| Object | 10 EUV and UV 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: 10 EUV and UV channels | Statement: [Atmospheric Imaging Assembly, hasNumberOfChannels, 10 EUV and UV channels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfChannels Context triple: [Atmospheric Imaging Assembly, hasNumberOfChannels, 10 EUV and UV channels]
-
A.
hasChannelCount
chosen
Indicates that an entity is associated with a specific number of channels.
-
B.
hasNumberOfADPCMAChannels
Indicates the quantity of ADPCM (Adaptive Differential Pulse-Code Modulation) channels associated with or supported by an entity.
-
C.
hasFullBandwidthChannels
Indicates that the subject possesses communication channels that operate at the maximum or designated full data transmission capacity.
-
D.
hasNumberOfStreams
Indicates the quantity of streams associated with a given entity.
-
E.
numberOfAdditionalChannels
Indicates the quantity of extra channels added beyond a base or default set in a given context.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fe0f488190ac34aa677c980a20 |
completed | April 18, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.