Triple
T34091143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | valproate |
E874304
|
entity |
| Predicate | affectsMetabolismOf |
P176186
|
FINISHED |
| Object | lamotrigine |
—
|
NE NERFINISHED |
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: lamotrigine | Statement: [valproate, affectsMetabolismOf, lamotrigine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsMetabolismOf Context triple: [valproate, affectsMetabolismOf, lamotrigine]
-
A.
isMetabolizedBy
Indicates that a substance is biochemically broken down or transformed through metabolic processes carried out by a specified organism, cell type, or enzyme system.
-
B.
metabolismType
Indicates the kind of metabolic process or pathway an entity uses to obtain and transform energy or nutrients.
-
C.
metabolismTrend
Indicates how an entity’s metabolic rate or activity is changing over time (e.g., increasing, decreasing, or remaining stable).
-
D.
modifiesPharmacokineticsOf
chosen
Indicates that one entity alters the absorption, distribution, metabolism, or excretion characteristics of another entity.
-
E.
isMetabolizedPrimarilyIn
Indicates that the substance undergoes its main metabolic processing within the specified biological system or organ.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:52 a.m.