Triple
T1836105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rényi divergence |
E41069
|
entity |
| Predicate | dataProcessingInequality |
P33951
|
FINISHED |
| Object | true for α ∈ [0,1) ∪ (1,∞) |
—
|
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: true for α ∈ [0,1) ∪ (1,∞) | Statement: [Rényi divergence, dataProcessingInequality, true for α ∈ [0,1) ∪ (1,∞)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataProcessingInequality Context triple: [Rényi divergence, dataProcessingInequality, true for α ∈ [0,1) ∪ (1,∞)]
-
A.
helpsAnalyze
Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
-
B.
requiresEqualTreatmentWith
Indicates that one entity must be treated in the same way and to the same extent as another entity, without preferential or discriminatory differences.
-
C.
dataPortal
Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
-
D.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
E.
dataControl
Indicates that one entity has the authority or capability to determine how another entity’s data is collected, used, shared, or managed.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.