Triple
T22973243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Familia Michoacana |
E571244
|
entity |
| Predicate | primaryDrugTrafficked |
P56589
|
FINISHED |
| Object | methamphetamine |
—
|
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: methamphetamine | Statement: [La Familia Michoacana, primaryDrugTrafficked, methamphetamine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDrugTrafficked Context triple: [La Familia Michoacana, primaryDrugTrafficked, methamphetamine]
-
A.
primaryIllegalCommodity
chosen
Indicates that the referenced commodity is the main or most significant illegal good involved in an activity, transaction, or case.
-
B.
hasSmugglingRoutes
Indicates that an entity maintains or controls secret or illegal transportation paths used to move goods or people covertly.
-
C.
country of criminal activity
Indicates the country in which the criminal activity took place or was primarily carried out.
-
D.
drugPolicy
Indicates the rules, regulations, or guidelines governing the use, control, or management of drugs within a given context.
-
E.
primaryDrug
Indicates that one drug is identified as the main or most important medication in a given treatment, context, or combination relative to other associated 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182343a448190a5259cdf721c9d04 |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.