Triple
T11002225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolis algorithm |
E260028
|
entity |
| Predicate | acceptanceProbabilityForSymmetricProposal |
P12745
|
FINISHED |
| Object | min(1, π(x') / π(x)) |
—
|
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: min(1, π(x') / π(x)) | Statement: [Metropolis algorithm, acceptanceProbabilityForSymmetricProposal, min(1, π(x') / π(x))]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptanceProbabilityForSymmetricProposal Context triple: [Metropolis algorithm, acceptanceProbabilityForSymmetricProposal, min(1, π(x') / π(x))]
-
A.
hasSuccessProbabilitySymbol
Indicates that an entity is associated with a symbolic representation of its probability of success.
-
B.
maximumLikelihoodEstimatorForScale
Indicates the estimator that yields the most likely value of a scale parameter given observed data.
-
C.
isProportionalityFactorIn
Indicates that one quantity serves as the proportionality factor (constant of proportionality) in a specified proportional relationship or equation.
-
D.
acceptedIn
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
-
E.
definesProbability
chosen
Indicates that one entity specifies or assigns the probability value associated with another entity or event.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d760008190930228fa77b61b8b |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.