Triple
T11084507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markov semigroup |
E262082
|
entity |
| Predicate | generatorProperty |
P77177
|
FINISHED |
| Object | d/dt T_t f |_{t=0} = A f for generator A |
—
|
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: d/dt T_t f |_{t=0} = A f for generator A | Statement: [Markov semigroup, generatorProperty, d/dt T_t f |_{t=0} = A f for generator A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generatorProperty
Context triple: [Markov semigroup, generatorProperty, d/dt T_t f |_{t=0} = A f for generator A]
-
A.
generationMethod
Indicates the process, technique, or procedure by which something is created, produced, or derived.
-
B.
generators
Indicates that one entity produces, creates, or brings about another entity or outcome, typically as its source or origin.
-
C.
hasGeneratingFunction
Indicates that one entity serves as the generating function associated with, or defining, another entity.
-
D.
generatorAction
chosen
Indicates an action performed by, involving, or affecting a generator within a system or process.
-
E.
generation
Indicates the relationship in which one entity produces, creates, or brings another entity into existence.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c0cc3081908448cfb26c08daf5 |
completed | April 9, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.