Triple
T34091195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dravet syndrome |
E874305
|
entity |
| Predicate | contraindicatedDrug |
P23156
|
FINISHED |
| Object | carbamazepine |
—
|
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: carbamazepine | Statement: [Dravet syndrome, contraindicatedDrug, carbamazepine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contraindicatedDrug Context triple: [Dravet syndrome, contraindicatedDrug, carbamazepine]
-
A.
hasContraindication
chosen
Indicates that one entity (such as a treatment, drug, or procedure) should not be used or performed in the presence of another entity (such as a condition, factor, or co-medication) because it may cause harm or adverse effects.
-
B.
inhibitedByDrug
Indicates that the activity, function, or effect of one entity is reduced, blocked, or otherwise suppressed due to the action of a specified drug.
-
C.
usesDrug
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
-
D.
hasCommonDrugInteraction
Indicates that two drugs share at least one known interaction that may affect their safety or effectiveness when used together.
-
E.
associatedWithDrug
Indicates that an entity has a relevant relationship or connection to a specific drug, such as use, exposure, or involvement in its context.
- 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_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: May 1, 2026, 1:52 a.m.