Triple

T19911833
Position Surface form Disambiguated ID Type / Status
Subject Punjab Police E478564 entity
Predicate hasDivision P35 FINISHED
Object Anti-Narcotics units, Punjab Police 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: Anti-Narcotics units, Punjab Police | Statement: [Punjab Police, hasDivision, Anti-Narcotics units, Punjab Police]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anti-Narcotics units, Punjab Police
Context triple: [Punjab Police, hasDivision, Anti-Narcotics units, Punjab Police]
  • A. 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.
  • B. 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.
  • C. Punjab Police
    Punjab Police is the provincial law enforcement agency responsible for maintaining public order, preventing and investigating crime, and enforcing laws across Pakistan’s Punjab province.
  • D. Punjab Police
    Punjab Police is the law enforcement agency responsible for maintaining public order, preventing and investigating crime, and ensuring security across the Indian state of Punjab.
  • E. National Police Bureau of Pakistan
    The National Police Bureau of Pakistan is a federal institution responsible for police policy development, reform, coordination, and research across the country’s law enforcement agencies.
  • 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: Anti-Narcotics units, Punjab Police
Target entity description: Anti-Narcotics units, Punjab Police are specialized law enforcement units in the Punjab Police dedicated to combating drug trafficking, narcotics smuggling, and related criminal activities across the state.
  • A. 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.
  • B. 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.
  • C. Punjab Police
    Punjab Police is the provincial law enforcement agency responsible for maintaining public order, preventing and investigating crime, and enforcing laws across Pakistan’s Punjab province.
  • D. Punjab Police
    Punjab Police is the law enforcement agency responsible for maintaining public order, preventing and investigating crime, and ensuring security across the Indian state of Punjab.
  • E. National Police Bureau of Pakistan
    The National Police Bureau of Pakistan is a federal institution responsible for police policy development, reform, coordination, and research across the country’s law enforcement 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659908ba88190ae0ee0fbfe4ddf64 completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.