Triple
T34786935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laplace's rule of succession |
E1002836
|
entity |
| Predicate | givesPosterior |
P181891
|
FINISHED |
| Object | Beta(s+1,n-s+1) |
—
|
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: Beta(s+1,n-s+1) | Statement: [Laplace's rule of succession, givesPosterior, Beta(s+1,n-s+1)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesPosterior Context triple: [Laplace's rule of succession, givesPosterior, Beta(s+1,n-s+1)]
-
A.
priorPost
Indicates that one post occurs earlier in sequence or time relative to another post.
-
B.
hasPosteriorRegion
Indicates that one entity constitutes or occupies the rear or back (posterior) region of another entity.
-
C.
sufficientStatistic
Indicates that one variable or set of variables contains all the information needed from the data to infer or estimate another variable or parameter, making the rest of the data irrelevant for that purpose.
-
D.
resultBelief
Indicates that one belief arises as a consequence or outcome of another belief or reasoning process.
-
E.
reproducesPredictionsOf
Indicates that one system or model generates outputs that match or closely approximate the predictions produced by another system or model.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 3:59 p.m.