Triple
T992560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uranus |
E21422
|
entity |
| Predicate | magneticField |
P22845
|
FINISHED |
| Object | highly tilted relative to rotation axis |
—
|
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: highly tilted relative to rotation axis | Statement: [Uranus, magneticField, highly tilted relative to rotation axis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magneticField Context triple: [Uranus, magneticField, highly tilted relative to rotation axis]
-
A.
magneticFieldStrength
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.
magneticActivityCycle
Indicates a recurring pattern or period in which an object’s magnetic activity (such as field strength or related phenomena) systematically increases and decreases over time.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c3f7b48190a31308bdc09817c6 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.