Triple
T24105457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E ring of Saturn |
E597207
|
entity |
| Predicate | brightnessCorrelatesWith |
P155083
|
FINISHED |
| Object | activity level of Enceladus |
—
|
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: activity level of Enceladus | Statement: [E ring of Saturn, brightnessCorrelatesWith, activity level of Enceladus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brightnessCorrelatesWith Context triple: [E ring of Saturn, brightnessCorrelatesWith, activity level of Enceladus]
-
A.
brightnessVariation
Indicates a change or fluctuation in the level of brightness of an entity over time or across conditions.
-
B.
isBright
Indicates that an entity emits or reflects a high level of light, making it visually intense or luminous.
-
C.
surfaceBrightnessClass
Indicates the qualitative classification of how bright an extended object (such as a galaxy) appears per unit area on the sky.
-
D.
sensitivityToLight
Indicates a relationship where an entity reacts adversely or more strongly than normal when exposed to light.
-
E.
apparentBrightness
Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
- 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de154388819084f5a3f2b139287a |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 11:01 p.m.