Triple
T3616141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muon g-2 experiment |
E76604
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | high-precision measurement |
C13493
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: high-precision measurement Context triple: [Muon g-2 experiment, instanceOf, high-precision measurement]
-
A.
scientific measurement scale
A scientific measurement scale is a standardized system or continuum used to assign numerical or categorical values to observed phenomena, enabling consistent quantification, comparison, and analysis in scientific research.
-
B.
international measure
An international measure is a standardized metric, policy, or action adopted across multiple countries to enable consistent comparison, coordination, or regulation on a global scale.
-
C.
interferometry experiment
An interferometry experiment is a setup that splits and recombines waves (such as light or matter waves) to produce interference patterns used to measure extremely small differences in distance, phase, or other physical properties.
-
D.
historical unit of measurement
A historical unit of measurement is a quantity standard once used in a specific culture or period to measure physical properties like length, mass, or volume, but later replaced or standardized in modern systems.
-
E.
intensity interferometry effect
The intensity interferometry effect is the phenomenon where correlations in the intensity fluctuations of light (or other waves) measured at separated detectors reveal information about the spatial structure and coherence properties of the source.
- F. None of above. chosen
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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
Created at: March 8, 2026, 3:23 p.m.