Triple
T23310083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picrasma |
E590557
|
entity |
| Predicate | pharmacologicalInterest |
P151818
|
FINISHED |
| Object | studied for antimalarial potential of quassinoids |
—
|
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: studied for antimalarial potential of quassinoids | Statement: [Picrasma, pharmacologicalInterest, studied for antimalarial potential of quassinoids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pharmacologicalInterest Context triple: [Picrasma, pharmacologicalInterest, studied for antimalarial potential of quassinoids]
-
A.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
-
B.
mechanismOfActionStudied
Indicates that the relationship involves examining or investigating how an action, intervention, or agent produces its effects or outcomes.
-
C.
hasPharmacologicClass
Indicates that a drug or medicinal product belongs to a specific pharmacologic class based on its mechanism of action or therapeutic effect.
-
D.
hasDrugBankID
Indicates that an entity is associated with a specific identifier from the DrugBank database.
-
E.
primaryDrug
Indicates that one drug is identified as the main or most important medication in a given treatment, context, or combination relative to other associated drugs.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972acad08190bb56541b822555cd |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:05 p.m.