Triple
T25130905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rydberg energy |
E629518
|
entity |
| Predicate | isGroundStateBindingEnergyOf |
P7805
|
FINISHED |
| Object | electron in hydrogen |
—
|
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: electron in hydrogen | Statement: [Rydberg energy, isGroundStateBindingEnergyOf, electron in hydrogen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGroundStateBindingEnergyOf Context triple: [Rydberg energy, isGroundStateBindingEnergyOf, electron in hydrogen]
-
A.
hasGroundState
Indicates that an entity possesses a lowest-energy, most stable state in its energy configuration.
-
B.
hasBindingEnergy
chosen
Indicates that one entity possesses or is characterized by a specific amount of binding energy associated with its formation or stability.
-
C.
isGroundedIn
Indicates that something is based on, supported by, or justified through a particular source, foundation, or set of principles.
-
D.
isLightestBoundStateOf
Indicates that one entity is the lowest-mass (lightest) bound state within the set of bound states associated with another entity.
-
E.
hasGroundPressure
Indicates that an entity exerts a specific amount of pressure on the ground or surface it is in contact with.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465f79bd081909a2f5165aa89dc16 |
completed | May 1, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:28 a.m.