Triple

T7677079
Position Surface form Disambiguated ID Type / Status
Subject Golden Triangle region E173888 entity
Predicate drugPolicyContext P31886 FINISHED
Object target of international drug control efforts 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: target of international drug control efforts | Statement: [Golden Triangle region, drugPolicyContext, target of international drug control efforts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: drugPolicyContext
Context triple: [Golden Triangle region, drugPolicyContext, target of international drug control efforts]
  • A. drugPolicy chosen
    Indicates the rules, regulations, or guidelines governing the use, control, or management of drugs within a given context.
  • B. legalizedIn
    Indicates that an action, substance, or practice is permitted by law within a specified jurisdiction or region.
  • C. removesFromControlledSubstancesAct
    Indicates that an entity is taken off the list of drugs or substances regulated under the Controlled Substances Act.
  • D. alcoholPolicy
    Indicates the rules or restrictions governing the possession, sale, or consumption of alcohol in a given context.
  • E. acceptsSubstance
    Indicates that an entity receives, takes in, or allows the use of a specified substance.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7048b0b448190889bd40e0a38e51a completed March 27, 2026, 10:28 p.m.
PD Predicate disambiguation batch_69c701618d3481908be84b76f36ac5a1 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 4:01 p.m.