Triple
T28861947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wishart distribution |
E728886
|
entity |
| Predicate | degreesOfFreedomSymbol |
P28226
|
FINISHED |
| Object | n |
—
|
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: n | Statement: [Wishart distribution, degreesOfFreedomSymbol, n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreesOfFreedomSymbol Context triple: [Wishart distribution, degreesOfFreedomSymbol, n]
-
A.
dimensionSymbol
Indicates a symbolic notation that represents or labels a specific dimension or measurement attribute in a context.
-
B.
hasDegreeOfFreedom
chosen
Indicates that one entity possesses a specific independent parameter or mode in which it can vary or move relative to another entity or within a system.
-
C.
correspondsToStudentTWithDegreesOfFreedom
Indicates that something matches or is associated with a Student’s t-distribution characterized by a specific number of degrees of freedom.
-
D.
symbolForFrequency
Indicates that one entity serves as the symbolic representation or notation used to denote the frequency of another entity or phenomenon.
-
E.
hasStandardDeviationSymbol
Indicates that a given notation, variable, or symbol is used to represent the standard deviation in a statistical 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 6:47 a.m.