Triple
T25236275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paschen series |
E632344
|
entity |
| Predicate | shortestWavelengthApprox |
P120457
|
FINISHED |
| Object | 820 nm |
—
|
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: 820 nm | Statement: [Paschen series, shortestWavelengthApprox, 820 nm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortestWavelengthApprox Context triple: [Paschen series, shortestWavelengthApprox, 820 nm]
-
A.
shortestWavelengthApproximate
chosen
Indicates that one value represents an approximate minimum (shortest) wavelength associated with another entity or condition.
-
B.
longestWavelengthApprox
Indicates an approximate value for the longest wavelength associated with a given entity or phenomenon.
-
C.
wavelengthApproximate
Indicates that one entity’s wavelength is approximately equal to, or closely matches, the wavelength of another entity.
-
D.
approximateWavelengthRange
Indicates the range of wavelengths that approximately characterizes or bounds the phenomenon, object, or interaction in question.
-
E.
wavelengthRangeLowerBoundMicrometers
Indicates the minimum wavelength value, expressed in micrometers, that defines the lower limit of a wavelength range for the related entity or measurement.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47df954cc8190ab223daad550fd0d |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:07 p.m.