Triple

T19875853
Position Surface form Disambiguated ID Type / Status
Subject Internal Security Forces E477632 entity
Predicate hasPart P35 FINISHED
Object Cybercrime and Intellectual Property Rights Bureau 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: Cybercrime and Intellectual Property Rights Bureau | Statement: [Internal Security Forces, hasPart, Cybercrime and Intellectual Property Rights Bureau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cybercrime and Intellectual Property Rights Bureau
Context triple: [Internal Security Forces, hasPart, Cybercrime and Intellectual Property Rights Bureau]
  • A. Cyber Security and Technology Crime Bureau
    The Cyber Security and Technology Crime Bureau is a specialized unit of the Hong Kong Police Force responsible for investigating cybercrime, digital security threats, and technology-related offenses.
  • B. Cyber Crime Wing
    Cyber Crime Wing is a specialized division of Pakistan’s Federal Investigation Agency responsible for investigating and combating cybercrimes and enforcing digital security laws.
  • C. Cyber Crimes Unit
    The Cyber Crimes Unit is a specialized division of the Los Angeles Police Department that investigates computer-related offenses, digital fraud, hacking, and other technology-based crimes.
  • D. Cyber Crime Cell
    The Cyber Crime Cell is a specialized unit of the Delhi Police dedicated to investigating and combating offenses involving computers, networks, and digital technologies.
  • E. Cyber Crime Unit
    The Cyber Crime Unit is a specialized division of the Detroit Police Department focused on investigating and combating computer-based and digital crimes.
  • 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: Cybercrime and Intellectual Property Rights Bureau
Target entity description: The Cybercrime and Intellectual Property Rights Bureau is a specialized law enforcement unit responsible for investigating digital offenses and protecting intellectual property rights within the jurisdiction of the Internal Security Forces.
  • A. Cyber Security and Technology Crime Bureau
    The Cyber Security and Technology Crime Bureau is a specialized unit of the Hong Kong Police Force responsible for investigating cybercrime, digital security threats, and technology-related offenses.
  • B. Cyber Crime Wing
    Cyber Crime Wing is a specialized division of Pakistan’s Federal Investigation Agency responsible for investigating and combating cybercrimes and enforcing digital security laws.
  • C. Cyber Crimes Unit
    The Cyber Crimes Unit is a specialized division of the Los Angeles Police Department that investigates computer-related offenses, digital fraud, hacking, and other technology-based crimes.
  • D. Cyber Crime Cell
    The Cyber Crime Cell is a specialized unit of the Delhi Police dedicated to investigating and combating offenses involving computers, networks, and digital technologies.
  • E. Cyber Crime Unit
    The Cyber Crime Unit is a specialized division of the Detroit Police Department focused on investigating and combating computer-based and digital crimes.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658db058c8190b7bf0b003ead5bfc completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.