Triple
T36124652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanzo Criminale – La serie |
E1044845
|
entity |
| Predicate | containsDrugTraffickingTheme |
P199454
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Romanzo Criminale – La serie, containsDrugTraffickingTheme, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsDrugTraffickingTheme Context triple: [Romanzo Criminale – La serie, containsDrugTraffickingTheme, yes]
-
A.
hasAntiDrugTheme
Indicates that something incorporates or promotes an anti-drug message or stance as a central theme.
-
B.
typeOfDrugsTrafficked
Indicates that one entity specifies the category or kind of drugs that are being trafficked in the context of a drug-trafficking activity.
-
C.
drugPolicy
Indicates the rules, regulations, or guidelines governing the use, control, or management of drugs within a given context.
-
D.
hasOrganizedCrimeTheme
chosen
Indicates that the subject’s content, narrative, or context centrally involves organized crime activities, groups, or structures.
-
E.
controlsTraffickingOf
Indicates that one entity directs, manages, or exerts authority over the movement or trade of another entity, typically in an illicit or exploitative context.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a011c64ff18819099195701bbecbb20 |
completed | May 11, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_6a011b7f7a508190b2ebb518fb7a2fe9 |
completed | May 10, 2026, 11:57 p.m. |
Created at: May 3, 2026, 4:08 p.m.