Triple
T25097504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | double exponential distribution |
E628629
|
entity |
| Predicate | hasFisherInformationForScale |
P168020
|
FINISHED |
| Object | 2/b^2 |
—
|
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: 2/b^2 | Statement: [double exponential distribution, hasFisherInformationForScale, 2/b^2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFisherInformationForScale Context triple: [double exponential distribution, hasFisherInformationForScale, 2/b^2]
-
A.
hasFisherInformationForLocation
Indicates that an entity possesses Fisher information specifically related to estimating or determining a location parameter.
-
B.
hasScaleParameter
Indicates that an entity is associated with a scale parameter that controls the magnitude or dispersion of a related quantity or distribution.
-
C.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
D.
maximumLikelihoodEstimatorForScale
Indicates the estimator that yields the most likely value of a scale parameter given observed data.
-
E.
hasScaleFactorForm
Indicates that one entity is represented as a scaled version or proportional form of another, typically via a specific scale factor.
- 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 18, 2026, 6:25 a.m.