Triple
T31792937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doppler cooling |
E811517
|
entity |
| Predicate | typicalLaserIntensity |
—
|
GENERATED |
| Object | on the order of saturation intensity |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLaserIntensity Context triple: [Doppler cooling, typicalLaserIntensity, on the order of saturation intensity]
-
A.
laserEnergyPerShot
Indicates the amount of energy released by a laser in a single shot or pulse.
-
B.
laserColor
Indicates the color attribute associated with a laser in the relationship or action.
-
C.
usedBeamIntensity
chosen
Indicates that a specific beam intensity value was applied or utilized in a given process, experiment, or operation.
-
D.
usesLaserType
Indicates that one entity employs or operates a specific type or category of laser in performing an action or function.
-
E.
usesLaser
Indicates that one entity employs or operates a laser in relation to another entity or context.
- F. None of above.
Provenance (1 batch)
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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:39 p.m.