Triple
T13308026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharpless epoxidation |
E316986
|
entity |
| Predicate | ligand |
P67837
|
FINISHED |
| Object | diethyl tartrate |
—
|
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: diethyl tartrate | Statement: [Sharpless epoxidation, ligand, diethyl tartrate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ligand Context triple: [Sharpless epoxidation, ligand, diethyl tartrate]
-
A.
bindsNucleotide
Indicates that one entity physically attaches to or associates with a nucleotide molecule.
-
B.
hasProteinBinding
Indicates that one entity is capable of physically binding to or interacting specifically with a protein.
-
C.
chemicalComponent
chosen
Indicates that one entity is a constituent chemical part or ingredient of another entity.
-
D.
substrateAffinity
Indicates the degree to which one entity tends to bind to, interact with, or preferentially act upon a particular substrate.
-
E.
hasEndogenousLigand
Indicates that an entity naturally binds or interacts with a ligand that is produced within the same biological system or organism.
- 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_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. |
Created at: April 9, 2026, 9:29 p.m.