Triple
T15646070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blandford–Znajek process |
E376179
|
entity |
| Predicate | powerScalingDependsOn |
P14894
|
FINISHED |
| Object | square of magnetic field strength |
—
|
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: square of magnetic field strength | Statement: [Blandford–Znajek process, powerScalingDependsOn, square of magnetic field strength]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerScalingDependsOn Context triple: [Blandford–Znajek process, powerScalingDependsOn, square of magnetic field strength]
-
A.
powerDependsOn
chosen
Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
-
B.
powerScope
Indicates the extent or domain within which an entity’s power, authority, or influence is valid or can be exercised.
-
C.
energyScaleBehavior
Indicates how a quantity or system changes or responds when the overall energy scale of the situation is varied.
-
D.
powerSupplyCapability
Indicates the ability of one entity to provide electrical power to another entity or system.
-
E.
powerBy
Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.