Triple
T36467944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wigner matrices |
E898468
|
entity |
| Predicate | entryDistributionCondition |
P186432
|
FINISHED |
| Object | entries have finite variance |
—
|
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: entries have finite variance | Statement: [Wigner matrices, entryDistributionCondition, entries have finite variance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entryDistributionCondition Context triple: [Wigner matrices, entryDistributionCondition, entries have finite variance]
-
A.
entryDistribution
Indicates how entries are allocated, spread, or assigned across a set of targets or categories.
-
B.
entryCondition
Indicates the prerequisite state, criteria, or circumstances that must be satisfied before entering or initiating a particular process, state, or context.
-
C.
subsetCondition
Indicates that one set or collection is entirely contained within another, satisfying a subset relationship condition.
-
D.
edgeCondition
Indicates a condition or set of criteria that must hold at the boundary or limit of a structure, process, or domain.
-
E.
authorizationCondition
Indicates the specific rules or requirements that must be satisfied for an action or access to be legally or formally authorized.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:10 p.m.