Triple
T17752831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaussian orthogonal ensemble |
E443153
|
entity |
| Predicate | matrixEntryMean |
P3634
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Gaussian orthogonal ensemble, matrixEntryMean, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matrixEntryMean Context triple: [Gaussian orthogonal ensemble, matrixEntryMean, 0]
-
A.
medidaCentral
Indicates a relationship where something functions as a central or primary measure used to summarize or represent a set of values.
-
B.
medianEquals
Indicates that the median value of a given set or sequence is equal to a specified value.
-
C.
hasMean
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
-
D.
averageGradient
Indicates the mean rate of change (slope) of a quantity over a specified interval or region.
-
E.
vectorProcessing
Indicates performing operations or transformations on vectors, typically processing multiple numeric elements as a single structured unit.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841c0540819093a32d759775c61f |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:10 a.m.