Triple
T13308054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharpless epoxidation |
E316986
|
entity |
| Predicate | typicalEnantiomericExcess |
P109439
|
FINISHED |
| Object | often greater than 90% ee |
—
|
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: often greater than 90% ee | Statement: [Sharpless epoxidation, typicalEnantiomericExcess, often greater than 90% ee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEnantiomericExcess Context triple: [Sharpless epoxidation, typicalEnantiomericExcess, often greater than 90% ee]
-
A.
isEnantiomerOf
Indicates that two molecular entities are non-superimposable mirror images of each other, related by inversion of all chiral centers.
-
B.
typicalExponent
Indicates that one quantity serves as the characteristic or standard exponent associated with another quantity or expression.
-
C.
hasChiralCenters
Indicates that a molecule possesses one or more chiral (stereogenic) centers, leading to possible stereoisomerism.
-
D.
isomer
Indicates that two chemical species share the same molecular formula but differ in the arrangement or orientation of their atoms, resulting in distinct structures or properties.
-
E.
hasEnzymeCommissionNumber
Indicates that an entity is associated with a specific Enzyme Commission (EC) number that classifies its enzymatic activity.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:29 p.m.