Triple
T478574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girsanov theorem |
E9114
|
entity |
| Predicate | formalizedIn |
P6279
|
FINISHED |
| Object | measure-theoretic probability |
—
|
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: measure-theoretic probability | Statement: [Girsanov theorem, formalizedIn, measure-theoretic probability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formalizedIn Context triple: [Girsanov theorem, formalizedIn, measure-theoretic probability]
-
A.
isFormalizedBy
Indicates that something is given a defined, structured, or official form through a specific method, process, or representation.
-
B.
termFormalizedBy
chosen
Indicates that a given term has been formally defined, specified, or codified by a particular formalization (such as a formal theory, document, or system).
-
C.
codifiedIn
Indicates that something is formally recorded, defined, or established within a specific document, code, or legal/institutional text.
-
D.
hasFormulation
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
E.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f056459881909749764cc4a7f9e8 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf017548190ae38ff3314a1ffa3 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.