Triple
T17454158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plectranthus amboinicus |
E424986
|
entity |
| Predicate | phytochemicalContains |
P24581
|
FINISHED |
| Object | essential oils |
—
|
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: essential oils | Statement: [Plectranthus amboinicus, phytochemicalContains, essential oils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phytochemicalContains Context triple: [Plectranthus amboinicus, phytochemicalContains, essential oils]
-
A.
notablePhytochemistry
Indicates that an entity is characterized by significant or noteworthy chemical compounds or phytochemical properties.
-
B.
containsChemical
chosen
Indicates that one entity includes or has within it a specified chemical substance.
-
C.
secondaryMetabolite
Indicates that one entity is a secondary metabolite produced by, associated with, or derived from another entity (such as an organism, pathway, or gene).
-
D.
containsPlantsWith
Indicates that one entity includes or holds within it one or more plant entities.
-
E.
containsAlkaloids
Indicates that a substance, organism, or material has alkaloid compounds present within it.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451406c748190b5ac6aacff7a3cc7 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.