Triple
T15881135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Energetic Particles Detector |
E385076
|
entity |
| Predicate | primaryScienceRegion |
P110443
|
FINISHED |
| Object | Jupiter magnetosphere |
—
|
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: Jupiter magnetosphere | Statement: [Energetic Particles Detector, primaryScienceRegion, Jupiter magnetosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryScienceRegion Context triple: [Energetic Particles Detector, primaryScienceRegion, Jupiter magnetosphere]
-
A.
primaryScience
Indicates that one entity serves as the main or principal scientific focus, discipline, or domain associated with another entity.
-
B.
naturalRegionOf
chosen
Indicates that one entity is the natural geographic region or area in which the other entity is located or to which it belongs.
-
C.
coreRegionOf
Indicates that one entity constitutes the central or most essential part of another entity’s structure, area, or domain.
-
D.
studiesRegion
Indicates that an entity engages in the academic or systematic study of a particular geographic or cultural region.
-
E.
primaryScienceStrength
Indicates the main area in which an entity’s scientific capability or expertise is strongest.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.