Triple
T15744151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyman series in hydrogen spectrum |
E381675
|
entity |
| Predicate | RydbergConstantSymbol |
P120460
|
FINISHED |
| Object | R_H |
—
|
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: R_H | Statement: [Lyman series in hydrogen spectrum, RydbergConstantSymbol, R_H]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RydbergConstantSymbol Context triple: [Lyman series in hydrogen spectrum, RydbergConstantSymbol, R_H]
-
A.
symbolForPlanckConstant
Indicates that one entity is the symbolic representation used to denote the Planck constant associated with another entity.
-
B.
usesSymbolForReducedPlanckConstant
Indicates that an entity adopts a specific symbol to represent the reduced Planck constant (ħ) in its notation or context.
-
C.
symbolOfStefanBoltzmannConstant
Indicates that something is the symbolic representation used to denote the Stefan–Boltzmann constant.
-
D.
usesSymbolForGravitationalConstant
Indicates that an entity adopts a particular symbol to represent the gravitational constant in formulas or notation.
-
E.
usesSymbolForSpeedOfLight
Indicates that an entity employs a particular symbol to represent the speed of light in some context or notation.
- F. None of above. chosen
Provenance (4 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:46 a.m.