Triple
T942709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jupiter |
E20341
|
entity |
| Predicate | hasMagneticFieldStrength |
P5337
|
FINISHED |
| Object | about 20000 times Earth at cloud tops |
—
|
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: about 20000 times Earth at cloud tops | Statement: [Jupiter, hasMagneticFieldStrength, about 20000 times Earth at cloud tops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagneticFieldStrength Context triple: [Jupiter, hasMagneticFieldStrength, about 20000 times Earth at cloud tops]
-
A.
magneticFieldStrength
chosen
Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
-
B.
hasMagneticMoment
Indicates that an entity possesses a magnetic moment, characterizing the strength and orientation of its magnetism.
-
C.
hasMagnetosphere
Indicates that an astronomical body possesses a magnetic field strong enough to create a surrounding magnetosphere.
-
D.
usesMagnetType
Indicates that one entity employs or operates with a specific type of magnet in its function or configuration.
-
E.
hasFieldOrientation
Indicates that one entity has a specified directional or spatial orientation relative to a field (such as magnetic, electric, or visual field).
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.