Triple
T24820524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Triangle of Mexican drug trafficking |
E621048
|
entity |
| Predicate | roleInDrugTrade |
P46944
|
FINISHED |
| Object | major source of marijuana for U.S. market |
—
|
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: major source of marijuana for U.S. market | Statement: [Golden Triangle of Mexican drug trafficking, roleInDrugTrade, major source of marijuana for U.S. market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDrugTrade Context triple: [Golden Triangle of Mexican drug trafficking, roleInDrugTrade, major source of marijuana for U.S. market]
-
A.
typeOfDrugsTrafficked
Indicates that one entity specifies the category or kind of drugs that are being trafficked in the context of a drug-trafficking activity.
-
B.
roleInCrime
chosen
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
-
C.
roleInGangRelated
Indicates that an entity holds a specific role or function within a gang-related context or activity.
-
D.
roleInGang
Indicates that an entity holds a specific position or function within a gang organization.
-
E.
hasDrugAddictedProtagonist
Indicates that the work’s main character is portrayed as being addicted to drugs.
- 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_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 5:04 a.m.