Triple

T24820522
Position Surface form Disambiguated ID Type / Status
Subject Golden Triangle of Mexican drug trafficking E621048 entity
Predicate illicitEconomy P56589 FINISHED
Object marijuana 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: marijuana trafficking | Statement: [Golden Triangle of Mexican drug trafficking, illicitEconomy, marijuana trafficking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: illicitEconomy
Context triple: [Golden Triangle of Mexican drug trafficking, illicitEconomy, marijuana trafficking]
  • A. primaryIllegalCommodity chosen
    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
    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_69f453035f508190be83a3d521723acf completed May 1, 2026, 7:15 a.m.
PD Predicate disambiguation batch_69f44d6ef33081908f5d36ba1ae5f473 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 5:04 a.m.