Triple
T442818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannabis |
E10150
|
entity |
| Predicate | psychoactiveComponent |
P6564
|
FINISHED |
| Object | THC |
—
|
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: THC | Statement: [Cannabis, psychoactiveComponent, THC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: psychoactiveComponent Context triple: [Cannabis, psychoactiveComponent, THC]
-
A.
primaryChemicalComponent
chosen
Indicates that one entity is the main or predominant chemical substance composing another entity.
-
B.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
-
C.
hasNotableDrug
Indicates that an entity is associated with a drug that is considered notable or significant in some recognized context.
-
D.
usesIngredient
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
-
E.
traditionalUse
Indicates that something is used or practiced according to long-established customs, habits, or cultural traditions.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef43e8f88190a5d368add11a38c0 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.