Triple
T6939240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laplace law of error |
E160629
|
entity |
| Predicate | hasProbabilityDensityShape |
P74406
|
FINISHED |
| Object | sharp peak at the mean and heavier tails than the normal distribution |
—
|
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: sharp peak at the mean and heavier tails than the normal distribution | Statement: [Laplace law of error, hasProbabilityDensityShape, sharp peak at the mean and heavier tails than the normal distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProbabilityDensityShape Context triple: [Laplace law of error, hasProbabilityDensityShape, sharp peak at the mean and heavier tails than the normal distribution]
-
A.
hasDistributionFunction
Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
-
B.
hasApproximateShape
Indicates that one entity has a shape that is similar to, but not exactly the same as, the shape of another entity.
-
C.
hasSurfaceDensity
Indicates that one entity possesses or is characterized by a specific amount of mass or quantity distributed per unit area on its surface.
-
D.
valueFunctionShape
Indicates the mathematical form or structural pattern of a value function used to evaluate states, actions, or outcomes in a decision or optimization process.
-
E.
definesProbability
Indicates that one entity specifies or assigns the probability value associated with another entity or event.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6e0c620f0819080e0ec49b36d4c30 |
completed | March 27, 2026, 7:55 p.m. |
Created at: March 27, 2026, 2:28 p.m.