Triple
T10609803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | THCA |
E275976
|
entity |
| Predicate | majorFormOfTHCIn |
P94927
|
FINISHED |
| Object | raw cannabis plant |
—
|
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: raw cannabis plant | Statement: [THCA, majorFormOfTHCIn, raw cannabis plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorFormOfTHCIn Context triple: [THCA, majorFormOfTHCIn, raw cannabis plant]
-
A.
isNonIntoxicating
Indicates that something does not cause intoxication or impair a person's mental or physical faculties.
-
B.
psychoactiveProfile
Indicates the characteristic pattern of psychoactive effects or mental state changes produced by a substance, treatment, or exposure.
-
C.
weedStatus
Indicates whether an entity is classified or treated as a weed, typically in the context of management, control, or ecological status.
-
D.
nicotineDeliveryForm
Indicates the method or form through which nicotine is administered or delivered to an individual.
-
E.
nicotineLevel
Indicates the amount or concentration of nicotine present in or associated with an entity.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df59468881909b0c67d3f08c4b76 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:32 p.m.