Triple
T2683497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | k_B |
E57427
|
entity |
| Predicate | scaleSets |
P41481
|
FINISHED |
| Object | thermal energy scale k_B T |
—
|
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: thermal energy scale k_B T | Statement: [k_B, scaleSets, thermal energy scale k_B T]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleSets Context triple: [k_B, scaleSets, thermal energy scale k_B T]
-
A.
supportsCloudImages
Indicates that an entity is capable of handling, displaying, or otherwise working with images stored or managed in a cloud environment.
-
B.
typeOfCluster
Indicates that one entity is classified as a specific kind or category of cluster in relation to another entity.
-
C.
operationScale
Indicates the relative size, scope, or magnitude at which an operation or activity is conducted.
-
D.
deploymentType
Indicates the manner or configuration in which a system, application, or component is deployed or made operational.
-
E.
acceleratorType
Indicates the kind or category of accelerator associated with or used by an entity.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d7692c81909d8fd9ce3817161b |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd891bcd481909af5340a64ff69f9 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.