Triple
T23698518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartel del Noreste |
E585519
|
entity |
| Predicate | typeOfDrugsTrafficked |
P153439
|
FINISHED |
| Object | cocaine |
—
|
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: cocaine | Statement: [Cartel del Noreste, typeOfDrugsTrafficked, cocaine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDrugsTrafficked Context triple: [Cartel del Noreste, typeOfDrugsTrafficked, cocaine]
-
A.
primaryIllegalCommodity
Indicates that the referenced commodity is the main or most significant illegal good involved in an activity, transaction, or case.
-
B.
controlsTraffickingOf
Indicates that one entity directs, manages, or exerts authority over the movement or trade of another entity, typically in an illicit or exploitative context.
-
C.
hasSmugglingRoutes
Indicates that an entity maintains or controls secret or illegal transportation paths used to move goods or people covertly.
-
D.
drugPolicy
Indicates the rules, regulations, or guidelines governing the use, control, or management of drugs within a given context.
-
E.
legalStatusOfItems
Indicates the legal classification or regulatory standing that applies to specified items.
- 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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b6804970819083d4e63caa93ae4e |
completed | April 29, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f157cc43a881909ed2d8b0a09b5d73 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 17, 2026, 6:53 p.m.