Triple
T20757544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gelsemium |
E510886
|
entity |
| Predicate | hasAlkaloid |
P95362
|
FINISHED |
| Object | gelsemine |
—
|
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: gelsemine | Statement: [Gelsemium, hasAlkaloid, gelsemine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlkaloid Context triple: [Gelsemium, hasAlkaloid, gelsemine]
-
A.
containsAlkaloids
chosen
Indicates that a substance, organism, or material has alkaloid compounds present within it.
-
B.
alkaloidType
Indicates that one entity is classified as a specific type or category of alkaloid in relation to another entity.
-
C.
isPsychoactive
Indicates that a substance or agent has effects on the mind or nervous system that can alter perception, mood, consciousness, cognition, or behavior.
-
D.
hasFictionalSubstance
Indicates that one entity includes, contains, or involves a fictional or imaginary substance as part of its composition, setting, or narrative.
-
E.
isNonPsychoactivePrecursorOf
Indicates that one substance is a precursor of another in a biochemical or pharmacological pathway, and that the precursor itself does not produce psychoactive effects.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c23113c88190a567c3a098cf7552 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.