Triple
T15535961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brewis |
E370342
|
entity |
| Predicate | drugDealt |
P42606
|
FINISHED |
| Object | cannabis |
—
|
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: cannabis | Statement: [Brewis, drugDealt, cannabis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drugDealt Context triple: [Brewis, drugDealt, cannabis]
-
A.
drugPolicy
Indicates the rules, regulations, or guidelines governing the use, control, or management of drugs within a given context.
-
B.
usedSubstance
Indicates that an entity has consumed, applied, or otherwise made use of a particular substance.
-
C.
drugUseHistory
Indicates that an entity has a recorded past or ongoing pattern of using drugs.
-
D.
primaryIllegalCommodity
Indicates that the referenced commodity is the main or most significant illegal good involved in an activity, transaction, or case.
-
E.
associatedWithSubstance
chosen
Indicates that one entity has a relevant connection or involvement with a particular substance, such as use, presence, exposure, or composition.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.