Triple
T21123490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juno |
E520490
|
entity |
| Predicate | imageProvider |
P38871
|
FINISHED |
| Object | JunoCam citizen science images of Jupiter’s atmosphere |
—
|
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: JunoCam citizen science images of Jupiter’s atmosphere | Statement: [Juno, imageProvider, JunoCam citizen science images of Jupiter’s atmosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageProvider Context triple: [Juno, imageProvider, JunoCam citizen science images of Jupiter’s atmosphere]
-
A.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
B.
imagedBy
chosen
Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
-
C.
imageFile
Indicates that an entity is associated with, stored as, or represented by a particular image file.
-
D.
imageMaterial
Indicates that one entity serves as the material or physical medium from which the image entity is composed or rendered.
-
E.
usesImageModel
Indicates that one entity employs or relies on an image-based model (such as a computer vision or image generation model) in relation to another entity or task.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72236b2d88190bef9f0cd6924ca92 |
completed | April 21, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:55 p.m.