Triple
T17130915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JunoCam |
E415717
|
entity |
| Predicate | imagingGeometry |
P81582
|
FINISHED |
| Object | close perijove passes |
—
|
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: close perijove passes | Statement: [JunoCam, imagingGeometry, close perijove passes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imagingGeometry Context triple: [JunoCam, imagingGeometry, close perijove passes]
-
A.
observationGeometry
Indicates the spatial and directional configuration between an observer and a target at the time an observation is made.
-
B.
geometricConfiguration
Indicates the specific spatial arrangement and relationships among parts or elements within a geometric structure.
-
C.
viewGeometry
chosen
Indicates a relationship where a particular viewpoint or camera setup defines how a scene’s geometry is projected, framed, or visually represented.
-
D.
imagingInstrument
Indicates that a particular instrument or device is used to capture or produce an image of a target or subject.
-
E.
rayComposition
Indicates that one ray is formed by the sequential combination or continuation of another ray.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f029d1a48190a9d4094827d11d23 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.