Triple
T6938921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan–Boltzmann constant |
E160622
|
entity |
| Predicate | relationToRadiationConstant |
P25809
|
FINISHED |
| Object | a = 4σ / c |
—
|
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: a = 4σ / c | Statement: [Stefan–Boltzmann constant, relationToRadiationConstant, a = 4σ / c]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToRadiationConstant Context triple: [Stefan–Boltzmann constant, relationToRadiationConstant, a = 4σ / c]
-
A.
radiationToleranceTotalIonizingDose
Indicates the maximum total ionizing radiation dose an entity can withstand before its performance or integrity is adversely affected.
-
B.
relatedConstant
chosen
Indicates that one entity is a fixed, unchanging value or constant that is associated with or linked to another entity.
-
C.
symbolOfRadiantExitance
Indicates a relationship where something serves as a visual or symbolic representation of emitted radiant energy or light output.
-
D.
ionizingSource
Indicates that the subject acts as a source that produces or emits ionizing radiation affecting the object.
-
E.
symbolOfStefanBoltzmannConstant
Indicates that something is the symbolic representation used to denote the Stefan–Boltzmann constant.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:28 p.m.