Triple
T26990692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rydberg series |
E679852
|
entity |
| Predicate | energyLevelsFollow |
P160906
|
FINISHED |
| Object | En = -R_H Z^2 / n^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: En = -R_H Z^2 / n^2 for hydrogen-like atoms | Statement: [Rydberg series, energyLevelsFollow, En = -R_H Z^2 / n^2 for hydrogen-like atoms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyLevelsFollow Context triple: [Rydberg series, energyLevelsFollow, En = -R_H Z^2 / n^2 for hydrogen-like atoms]
-
A.
followsLevel
Indicates that one entity comes after or succeeds another in a defined sequence, stage, or hierarchical level.
-
B.
energyLevel
Indicates the amount or intensity of energy possessed, produced, or exhibited by an entity in a given state or context.
-
C.
eraFollowed
Indicates that one historical era comes directly after another in chronological sequence.
-
D.
goalForFollowers
Indicates that an entity sets or represents a goal or target specifically intended for its followers.
-
E.
energyLevelModel
chosen
Indicates a relationship where an entity’s energy level is represented, quantified, or characterized according to a specific model or modeling framework.
- 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_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 6:51 a.m.