Triple
T8912547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F-distribution |
E212217
|
entity |
| Predicate | transformationRelation |
P86342
|
FINISHED |
| Object | if X ~ F(d1, d2) then d1 X / (d1 X + d2) ~ Beta(d1/2, d2/2) |
—
|
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: if X ~ F(d1, d2) then d1 X / (d1 X + d2) ~ Beta(d1/2, d2/2) | Statement: [F-distribution, transformationRelation, if X ~ F(d1, d2) then d1 X / (d1 X + d2) ~ Beta(d1/2, d2/2)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformationRelation Context triple: [F-distribution, transformationRelation, if X ~ F(d1, d2) then d1 X / (d1 X + d2) ~ Beta(d1/2, d2/2)]
-
A.
datumRelation
Indicates a relationship where one piece of data is connected to, derived from, or otherwise associated with another piece of data.
-
B.
stepRelation
Indicates a relationship where one entity is a step-relative of another, such as a stepparent, stepchild, or stepsibling connection.
-
C.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
D.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
E.
traceRelation
Indicates a connection between entities where one serves as a trace, record, or evidential link revealing the existence, behavior, or influence of the other.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6525d1408190a76522d7c4ac37da |
completed | April 1, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc604965c48190bbb6db0ae8108e67 |
completed | April 1, 2026, 12:01 a.m. |
Created at: March 30, 2026, 6:56 p.m.