Triple
T32747413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fisher–Rao metric |
E837390
|
entity |
| Predicate | localApproximationOf |
P4460
|
FINISHED |
| Object | Kullback–Leibler divergence |
—
|
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: Kullback–Leibler divergence | Statement: [Fisher–Rao metric, localApproximationOf, Kullback–Leibler divergence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localApproximationOf Context triple: [Fisher–Rao metric, localApproximationOf, Kullback–Leibler divergence]
-
A.
alignedApproximately
Indicates that two or more entities are positioned or oriented in roughly the same direction or arrangement, allowing for minor deviations or imprecision.
-
B.
approximationRegion
Indicates a region or range within which a value, object, or condition is considered an acceptable approximation of a reference or target.
-
C.
approximates
chosen
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
D.
approximationClass
Indicates a relationship where one entity is classified as an approximation or approximate representation of another.
-
E.
localFactorAt
Indicates a relationship where a specific factor or influence is associated with, or applies at, a particular local point, position, or context.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:12 a.m.