Triple
T34091501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lamotrigine |
E874311
|
entity |
| Predicate | approvedForMedicalUseIn |
P149280
|
FINISHED |
| Object | 1994 in the United States |
—
|
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: 1994 in the United States | Statement: [lamotrigine, approvedForMedicalUseIn, 1994 in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approvedForMedicalUseIn Context triple: [lamotrigine, approvedForMedicalUseIn, 1994 in the United States]
-
A.
medicinalUse
Indicates that one entity is used as a treatment or remedy for a disease, condition, or health-related purpose affecting another entity.
-
B.
receivedUSFDAApprovalFor
chosen
Indicates that an entity has obtained official approval from the U.S. Food and Drug Administration (FDA) for a specific product, use, or application.
-
C.
partUsedMedicinally
Indicates that a specific part of an entity (such as a plant or organism) is used for medicinal purposes.
-
D.
approvedDrugForm
Indicates that a particular pharmaceutical form (e.g., tablet, injection) is an officially approved formulation of a given drug.
-
E.
potentialTherapeuticUse
Indicates that something is being considered or investigated as a possible treatment or therapy for a condition or disease.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: May 1, 2026, 1:52 a.m.