Triple
T17961944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Monique government |
E449105
|
entity |
| Predicate | associatedWithCriminalActivity |
P54348
|
FINISHED |
| Object | drug 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: drug trafficking | Statement: [San Monique government, associatedWithCriminalActivity, drug trafficking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCriminalActivity Context triple: [San Monique government, associatedWithCriminalActivity, drug trafficking]
-
A.
illegalActivityAssociatedWith
chosen
Indicates that there is a connection between an entity and an unlawful or criminal activity.
-
B.
associatedWithCrimeRecordOfUser
Indicates a relationship where something is linked to, or derived from, the crime record belonging to a specific user.
-
C.
associatedWithLawEnforcementAgency
Indicates that an entity has a formal connection, role, or involvement with a law enforcement agency.
-
D.
consideredCriminalBy
Indicates that one party regards or classifies another party as a criminal according to its own laws, rules, or judgments.
-
E.
associatedWithAccusation
Indicates a relationship where an entity is linked or connected to a specific accusation or charge.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b132cc10819088526a0b4b098d69 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.