Triple
T22250911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States cocaine trade |
E549973
|
entity |
| Predicate | illicit |
P114405
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [United States cocaine trade, illicit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illicit Context triple: [United States cocaine trade, illicit, true]
-
A.
keptIllegally
Indicates that something is possessed, held, or maintained in violation of laws or regulations.
-
B.
illegalMarket
chosen
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.
primaryIllegalCommodity
Indicates that the referenced commodity is the main or most significant illegal good involved in an activity, transaction, or case.
-
E.
complicitIn
Indicates involvement in or knowing participation in a wrongful, illegal, or unethical act carried out by another party.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138bd45e88190919660d50c0b94bc |
completed | April 28, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:39 p.m.