Triple
T36467890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginibre ensemble |
E898467
|
entity |
| Predicate | eigenvalueRepulsion |
P128210
|
FINISHED |
| Object | present |
—
|
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: present | Statement: [Ginibre ensemble, eigenvalueRepulsion, present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eigenvalueRepulsion Context triple: [Ginibre ensemble, eigenvalueRepulsion, present]
-
A.
levelRepulsionExponent
chosen
Indicates how strongly adjacent energy levels in a system repel each other as they approach degeneracy, typically quantified by the exponent in the level-spacing distribution.
-
B.
jointEigenvalueDensity
Indicates the relationship that assigns a probability density to each possible combination of eigenvalues considered jointly, rather than individually.
-
C.
eigenvalueDependsOn
Indicates that the value of an eigenvalue is determined by or varies as a function of another specified quantity or parameter.
-
D.
eigenvalueDensityLimit
Indicates the limiting behavior of the density of eigenvalues (e.g., as matrix size or system size grows) for a given operator or matrix ensemble.
-
E.
eigenvalueStatistics
Indicates that one entity characterizes or provides information about the distribution or behavior of the eigenvalues associated with another entity.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.