Triple

T23070807
Position Surface form Disambiguated ID Type / Status
Subject Komisi III DPR RI E575187 entity
Predicate supervises P258 FINISHED
Object Badan Narkotika Nasional NE NERFINISHED

How this triple was built (3 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: Badan Narkotika Nasional | Statement: [Komisi III DPR RI, supervises, Badan Narkotika Nasional]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badan Narkotika Nasional
Context triple: [Komisi III DPR RI, supervises, Badan Narkotika Nasional]
  • A. Narcotics Control Bureau
    The Narcotics Control Bureau is India’s apex law enforcement and intelligence agency responsible for combating drug trafficking and the illegal use of narcotic and psychotropic substances.
  • B. Anti-Narcotics General Administration
    The Anti-Narcotics General Administration is a specialized branch of Egypt’s national police responsible for combating drug trafficking, enforcing narcotics laws, and coordinating anti-drug operations across the country.
  • C. Bureau of Narcotics and Dangerous Drugs
    The Bureau of Narcotics and Dangerous Drugs was a former U.S. federal agency responsible for enforcing drug control laws before its functions were absorbed into the Drug Enforcement Administration (DEA).
  • D. Anti-Narcotics Department
    The Anti-Narcotics Department is a specialized unit of the Dubai Police responsible for combating drug-related crimes through enforcement, prevention, and coordination with local and international agencies.
  • E. Anti-Narcotics Department
    The Anti-Narcotics Department is a specialized Palestinian Authority security unit responsible for combating drug trafficking, distribution, and abuse within Palestinian territories.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Badan Narkotika Nasional
Target entity description: Badan Narkotika Nasional is Indonesia’s national narcotics agency responsible for preventing, combating, and coordinating efforts against drug abuse and trafficking across the country.
  • A. Narcotics Control Bureau
    The Narcotics Control Bureau is India’s apex law enforcement and intelligence agency responsible for combating drug trafficking and the illegal use of narcotic and psychotropic substances.
  • B. Anti-Narcotics General Administration
    The Anti-Narcotics General Administration is a specialized branch of Egypt’s national police responsible for combating drug trafficking, enforcing narcotics laws, and coordinating anti-drug operations across the country.
  • C. Bureau of Narcotics and Dangerous Drugs
    The Bureau of Narcotics and Dangerous Drugs was a former U.S. federal agency responsible for enforcing drug control laws before its functions were absorbed into the Drug Enforcement Administration (DEA).
  • D. Anti-Narcotics Department
    The Anti-Narcotics Department is a specialized Palestinian Authority security unit responsible for combating drug trafficking, distribution, and abuse within Palestinian territories.
  • E. Anti-Narcotics Department
    The Anti-Narcotics Department is a specialized unit of the Dubai Police responsible for combating drug-related crimes through enforcement, prevention, and coordination with local and international agencies.
  • F. None of above. chosen

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c5f17348190ab92cfdae9bcaeba completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.