Triple
T37636833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Indigenous Medicine of Sri Lanka |
E936509
|
entity |
| Predicate | typeOfMedicinePromoted |
—
|
GENERATED |
| Object | Ayurveda |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMedicinePromoted Context triple: [Ministry of Indigenous Medicine of Sri Lanka, typeOfMedicinePromoted, Ayurveda]
-
A.
typeOfRemedy
Indicates that one entity is a specific kind or category of remedy in relation to another entity.
-
B.
drugClass
Indicates that one entity is classified as a particular pharmacological or therapeutic category of drugs in relation to another entity.
-
C.
activeIngredientOf
Indicates that one entity is the pharmacologically active component contained within or responsible for the primary effect of another entity, such as a drug or product.
-
D.
productTypePromoted
Indicates that a particular type or category of product is being actively promoted or highlighted, such as through marketing, placement, or special offers.
-
E.
drugProduced
Indicates that a particular drug is manufactured or generated by a specified producer or source.
- F. None of above. chosen
Provenance (1 batch)
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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.