Triple
T24820521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Triangle of Mexican drug trafficking |
E621048
|
entity |
| Predicate | illicitEconomy |
P109009
|
FINISHED |
| Object | heroin trafficking |
—
|
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: heroin trafficking | Statement: [Golden Triangle of Mexican drug trafficking, illicitEconomy, heroin trafficking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illicitEconomy Context triple: [Golden Triangle of Mexican drug trafficking, illicitEconomy, heroin trafficking]
-
A.
primaryIllegalCommodity
Indicates that the referenced commodity is the main or most significant illegal good involved in an activity, transaction, or case.
-
B.
illegalMarket
Indicates a market relationship where goods or services are traded in violation of laws or regulations.
-
C.
circulatedIllegallyIn
chosen
Indicates that something was distributed or shared within a particular place or context in violation of laws or regulations.
-
D.
exploitedFor
Indicates that one entity is unfairly or abusively used by another entity as a resource, means, or advantage for the latter’s benefit.
-
E.
criminalOrganization
Indicates that the subject is an organized group engaged in ongoing illegal activities, often with structured hierarchy and coordination.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:04 a.m.