Triple
T310344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kullback–Leibler divergence |
E6392
|
entity |
| Predicate | equalsZeroIfAndOnlyIf |
P9150
|
FINISHED |
| Object | two distributions are equal almost everywhere |
—
|
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: two distributions are equal almost everywhere | Statement: [Kullback–Leibler divergence, equalsZeroIfAndOnlyIf, two distributions are equal almost everywhere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equalsZeroIfAndOnlyIf Context triple: [Kullback–Leibler divergence, equalsZeroIfAndOnlyIf, two distributions are equal almost everywhere]
-
A.
isZeroFor
chosen
Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
-
B.
isNonzeroFor
Indicates that a given value, function, or quantity is not equal to zero under specified conditions or for specified inputs.
-
C.
isNonNegative
Indicates that a value is greater than or equal to zero.
-
D.
isComparedTo
Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
-
E.
isRealValued
Indicates that the value or function in question takes values exclusively from the set of real numbers.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea4778cc8190be7b648a82542891 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.