Triple
T24957238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fano inequality |
E624508
|
entity |
| Predicate | givesLowerBoundOn |
P96513
|
FINISHED |
| Object | probability of misclassification |
—
|
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: probability of misclassification | Statement: [Fano inequality, givesLowerBoundOn, probability of misclassification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesLowerBoundOn Context triple: [Fano inequality, givesLowerBoundOn, probability of misclassification]
-
A.
givesBoundOn
chosen
Indicates that one quantity provides an upper or lower limit (a bound) on the value or behavior of another quantity.
-
B.
isUpperBoundFor
Indicates that one value is greater than or equal to every element in a given set or collection, serving as an upper limit for them.
-
C.
knownLowerBoundProvedBy
Indicates that a specific lower bound has been formally established or proven by a particular method, proof, or source.
-
D.
isBoundedBelow
Indicates that every value in a set or function is greater than or equal to some fixed lower bound.
-
E.
hasLowerBoundaryDefinedBy
Indicates that one entity’s lower limit, edge, or boundary is specified or determined by another entity.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:58 a.m.