Triple
T26990693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rydberg series |
E679852
|
entity |
| Predicate | wavelengthsFollow |
P134
|
FINISHED |
| Object | 1/λ = R Z^2 (1/n1^2 - 1/n2^2) for hydrogen-like atoms |
—
|
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: 1/λ = R Z^2 (1/n1^2 - 1/n2^2) for hydrogen-like atoms | Statement: [Rydberg series, wavelengthsFollow, 1/λ = R Z^2 (1/n1^2 - 1/n2^2) for hydrogen-like atoms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wavelengthsFollow Context triple: [Rydberg series, wavelengthsFollow, 1/λ = R Z^2 (1/n1^2 - 1/n2^2) for hydrogen-like atoms]
-
A.
waveLength
Indicates the distance between successive corresponding points (such as peaks) of a wave associated with the related entities.
-
B.
follows
chosen
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
C.
numberOfWaves
Indicates the count of distinct wave events or oscillations associated with a given entity or interaction.
-
D.
channelWavelength
Indicates the specific wavelength at which a given channel operates or is defined.
-
E.
wavelengthApproximate
Indicates that one entity’s wavelength is approximately equal to, or closely matches, the wavelength of 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6218eac6c81909b76d7ea67b47e8f |
completed | May 2, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69f611b07a808190af7c704bbdfe0587 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:51 a.m.