Triple
T23120382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Spherical Torus Experiment |
E576874
|
entity |
| Predicate | hasMagneticConfinementGeometry |
P145787
|
FINISHED |
| Object | toroidal |
—
|
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: toroidal | Statement: [National Spherical Torus Experiment, hasMagneticConfinementGeometry, toroidal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagneticConfinementGeometry Context triple: [National Spherical Torus Experiment, hasMagneticConfinementGeometry, toroidal]
-
A.
magneticConfinementType
chosen
Indicates the method or scheme of magnetic confinement used to contain a plasma or charged particles.
-
B.
hasMagnetosphere
Indicates that an astronomical body possesses a magnetic field strong enough to create a surrounding magnetosphere.
-
C.
hasMagneticMoment
Indicates that an entity possesses a magnetic moment, characterizing the strength and orientation of its magnetism.
-
D.
hasMagnetizationConfiguration
Indicates that an entity possesses a specific arrangement or pattern of magnetization.
-
E.
hasGyromagneticRatio
Indicates that one entity possesses a specific gyromagnetic ratio value characterizing its magnetic moment relative to its angular momentum.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4f9be881908307838bfb5edc0c |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:59 p.m.