Triple
T9524748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | levodopa |
E229731
|
entity |
| Predicate | isomer |
P88546
|
FINISHED |
| Object | L-enantiomer of 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: L-enantiomer of dopa | Statement: [levodopa, isomer, L-enantiomer of dopa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isomer Context triple: [levodopa, isomer, L-enantiomer of dopa]
-
A.
isotopes
Indicates that two or more atomic nuclei are variants of the same chemical element that differ in neutron number (and thus mass number) but share the same number of protons.
-
B.
commonIsotope
Indicates that two substances share the same most naturally abundant isotope of an element.
-
C.
minorIsoform
Indicates that one biological isoform is a less prevalent or secondary variant relative to another isoform.
-
D.
isIsomorphicTo
Indicates that two structures have a one-to-one, structure-preserving correspondence between their elements, making them equivalent in form even if not identical in content.
-
E.
heteronym
Indicates that two or more words share the same spelling but differ in pronunciation and meaning.
- 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.