Triple
T9524747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | levodopa |
E229731
|
entity |
| Predicate | isEnantiomerOf |
P88545
|
FINISHED |
| Object | D-dopa |
—
|
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-dopa | Statement: [levodopa, isEnantiomerOf, D-dopa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEnantiomerOf Context triple: [levodopa, isEnantiomerOf, D-dopa]
-
A.
isChiralInStandardModel
Indicates that the entity’s behavior or interaction in the Standard Model depends on its handedness (left- or right-handed), i.e., it is not invariant under parity transformation.
-
B.
carriedInRightOrLeftHand
Indicates that an entity is being held and transported either in the right hand or in the left hand of an agent.
-
C.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
-
D.
ambidextrousUse
Indicates the ability to use both the left and right hands with equal skill or effectiveness for a given action or task.
-
E.
enzymeType
Indicates the specific class or category of enzyme associated with an entity or reaction.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9899f99481908d374528716027f8 |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89f1d748190bf3636bea28d8a37 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:59 p.m.