Triple
T12166231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apocynaceae |
E289838
|
entity |
| Predicate | toxicCompounds |
P8036
|
FINISHED |
| Object | cardiac glycosides |
—
|
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: cardiac glycosides | Statement: [Apocynaceae, toxicCompounds, cardiac glycosides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toxicCompounds Context triple: [Apocynaceae, toxicCompounds, cardiac glycosides]
-
A.
toxicTo
Indicates that one entity causes harm, poisoning, or adverse effects to another when exposed or applied.
-
B.
toxinType
chosen
Indicates the specific kind or category of toxin associated with an entity.
-
C.
toxinLocation
Indicates the place or environment where a toxin is present, stored, or exerts its effect.
-
D.
toxinProduced
Indicates that one entity generates or secretes a substance that is toxic or harmful to another entity or its environment.
-
E.
toxicPart
Indicates that one entity is a component or portion of another that is harmful, poisonous, or otherwise toxic.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.