Triple
T29072253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehrenfest model |
E735840
|
entity |
| Predicate | equilibriumDistribution |
P148123
|
FINISHED |
| Object | binomial distribution |
—
|
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: binomial distribution | Statement: [Ehrenfest model, equilibriumDistribution, binomial distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equilibriumDistribution Context triple: [Ehrenfest model, equilibriumDistribution, binomial distribution]
-
A.
hasEquidistribution
Indicates that something is distributed uniformly or evenly across a given set, space, or range.
-
B.
limitDistribution
Indicates that one entity imposes or defines a maximum allowable quantity, range, or rate for another entity or process.
-
C.
equilibriumFigure
Indicates a stable configuration or shape in which all acting forces or influences on an object or system are balanced.
-
D.
asymptoticDistribution
chosen
Indicates that one quantity’s probability distribution approaches another distribution as some parameter (such as sample size) grows without bound.
-
E.
equilibriumControlled
Indicates that one entity maintains or regulates the equilibrium state or balance condition of another entity or system.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f660fb4ee081908e77957ad66b19e6 |
completed | May 2, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:20 a.m.