Triple
T17798358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaussian symplectic ensemble |
E444351
|
entity |
| Predicate | hasLevelSpacingStatistics |
P128957
|
FINISHED |
| Object | Wigner–Dyson distribution with β = 4 |
—
|
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: Wigner–Dyson distribution with β = 4 | Statement: [Gaussian symplectic ensemble, hasLevelSpacingStatistics, Wigner–Dyson distribution with β = 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelSpacingStatistics Context triple: [Gaussian symplectic ensemble, hasLevelSpacingStatistics, Wigner–Dyson distribution with β = 4]
-
A.
hasMeanSpacing
Indicates the average distance or interval between repeated or adjacent elements in a pattern, structure, or arrangement.
-
B.
hasNumberOfLevels
Indicates that an entity possesses a specified count of distinct levels or tiers.
-
C.
statisticalLevel
Indicates the degree or tier of statistical detail, aggregation, or granularity at which data or analysis is defined or reported.
-
D.
hasLevelNumber
Indicates that an entity is associated with a specific level identified by a numerical value.
-
E.
hasAlternativeSpacing
Indicates that an entity is associated with one or more alternative ways of spacing its characters or components compared to a primary or standard form.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fcfdc8819086f41152860dfe18 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:13 a.m.