Triple
T29575891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhattacharyya coefficient |
E753440
|
entity |
| Predicate | hasInverseMeasure |
P21517
|
FINISHED |
| Object | Bhattacharyya distance |
—
|
NE NERFINISHED |
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: Bhattacharyya distance | Statement: [Bhattacharyya coefficient, hasInverseMeasure, Bhattacharyya distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInverseMeasure Context triple: [Bhattacharyya coefficient, hasInverseMeasure, Bhattacharyya distance]
-
A.
hasInverseFormula
Indicates that one formula is mathematically derived as the inverse of another formula, reversing its input-output relationship.
-
B.
isCanonicalMeasureFor
Indicates that one measure is the standard or authoritative representation used to quantify or express another measure or concept.
-
C.
containsMeasure
Indicates that one entity includes or encompasses a specific measure or quantitative component as part of its content or structure.
-
D.
isInverseOf
chosen
Indicates that one relation reverses the direction of another, so that if the original relates A to B, its inverse relates B to A.
-
E.
isOuterMeasure
Indicates that a given set function satisfies the properties required to be an outer measure (defined on all subsets, null empty set, monotone, and countably subadditive).
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: April 28, 2026, 6:03 p.m.