Triple
T22250946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States cocaine trade |
E549973
|
entity |
| Predicate | demandSide |
P147555
|
FINISHED |
| Object | recreational drug use |
—
|
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: recreational drug use | Statement: [United States cocaine trade, demandSide, recreational drug use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demandSide Context triple: [United States cocaine trade, demandSide, recreational drug use]
-
A.
demand
Indicates that one entity requests or insists that another entity provide something or perform an action, often with an expectation of compliance.
-
B.
demands
Indicates that one entity insists that another entity provide something or take a specific action, typically with authority or urgency.
-
C.
promptedDemandFor
Indicates that one entity’s action or occurrence caused an increase in demand for another entity.
-
D.
demanded
Indicates that one entity forcefully or insistently requested something from another entity.
-
E.
targetConsumerNeed
Indicates that something is intended to address, satisfy, or be directed toward a specific need or requirement of a consumer.
- F. None of above. chosen
Provenance (4 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_69f138befa208190877760dec1896740 |
completed | April 28, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:39 p.m.