Triple
T25303130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evans auxiliary-based asymmetric synthesis |
E634404
|
entity |
| Predicate | optimizationParameter |
P97142
|
FINISHED |
| Object | temperature control for stereoselectivity |
—
|
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: temperature control for stereoselectivity | Statement: [Evans auxiliary-based asymmetric synthesis, optimizationParameter, temperature control for stereoselectivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: optimizationParameter Context triple: [Evans auxiliary-based asymmetric synthesis, optimizationParameter, temperature control for stereoselectivity]
-
A.
optimizationType
Indicates the specific strategy or method used to improve performance or efficiency within a given process or system.
-
B.
optimizationTarget
Indicates that one entity is the goal or objective that another entity is trying to improve, optimize, or make more efficient.
-
C.
optimizationDomain
Indicates the domain, field, or context within which an optimization process or optimization-related activity is applied.
-
D.
parametrizes
chosen
Indicates that one entity defines or controls the variable parameters that determine the behavior, form, or configuration of another entity.
-
E.
optimizationQuestion
Indicates that one entity poses a query to another about how to improve efficiency, performance, or resource usage in a given context.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49398af708190b18a5af8ea3f738a |
completed | May 1, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:25 p.m.