Triple
T10340763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landau levels |
E243121
|
entity |
| Predicate | energySeparationProportionalTo |
P70383
|
FINISHED |
| Object | cyclotron frequency |
—
|
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: cyclotron frequency | Statement: [Landau levels, energySeparationProportionalTo, cyclotron frequency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energySeparationProportionalTo Context triple: [Landau levels, energySeparationProportionalTo, cyclotron frequency]
-
A.
separationMethod
Indicates the technique or process used to separate one substance, component, or entity from another.
-
B.
typeOfSeparation
Indicates the specific manner or category of separation that exists or occurred between entities.
-
C.
separatesEstimationOf
Indicates that one entity distinguishes or isolates the estimation or assessment of another entity from other factors or components.
-
D.
isProportionalityFactorIn
chosen
Indicates that one quantity serves as the proportionality factor (constant of proportionality) in a specified proportional relationship or equation.
-
E.
separationProcess
Indicates a process in which components of a mixture or system are divided or isolated from one another based on differing properties or conditions.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:55 a.m.