Triple
T12128385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INSAT-3D |
E288867
|
entity |
| Predicate | imagerChannels |
P38761
|
FINISHED |
| Object | visible |
—
|
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: visible | Statement: [INSAT-3D, imagerChannels, visible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imagerChannels Context triple: [INSAT-3D, imagerChannels, visible]
-
A.
imageChannels
Indicates the number and types of color or data channels present in an image (e.g., RGB, RGBA, grayscale).
-
B.
inputColorChannels
Indicates the specific color channels that are provided as input to a process, function, or model.
-
C.
colorImaging
Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
-
D.
hasSpectralChannel
chosen
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
-
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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.