Triple

T18019489
Position Surface form Disambiguated ID Type / Status
Subject NCA E431077 entity
Predicate hasUnit P35 FINISHED
Object Economic Crime Command 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: Economic Crime Command | Statement: [NCA, hasUnit, Economic Crime Command]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Economic Crime Command
Context triple: [NCA, hasUnit, Economic Crime Command]
  • A. Economic Crime Directorate
    The Economic Crime Directorate is a specialist unit of the City of London Police responsible for investigating and combating complex financial and economic crimes in the UK’s financial center.
  • B. Economic crime unit
    The Economic Crime Unit is a specialist police team that investigates complex financial offences such as fraud, money laundering, and other economic crimes.
  • C. Economic Crime Wing
    The Economic Crime Wing is a specialized division of Pakistan’s Federal Investigation Agency responsible for investigating financial, corporate, and white-collar crimes.
  • D. Economic Offences Wing
    The Economic Offences Wing is a specialized investigative unit of the Delhi Police that handles complex financial crimes such as fraud, cheating, and economic scams.
  • E. Economic Offences Wing
    The Economic Offences Wing is a specialized investigative unit of the Uttar Pradesh Police that focuses on complex financial crimes, frauds, and economic offences.
  • 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: Economic Crime Command
Target entity description: The Economic Crime Command is a specialist unit within the UK’s National Crime Agency responsible for investigating and combating serious and complex financial and economic crimes.
  • A. Economic Crime Directorate
    The Economic Crime Directorate is a specialist unit of the City of London Police responsible for investigating and combating complex financial and economic crimes in the UK’s financial center.
  • B. Economic crime unit
    The Economic Crime Unit is a specialist police team that investigates complex financial offences such as fraud, money laundering, and other economic crimes.
  • C. Economic Crime Wing
    The Economic Crime Wing is a specialized division of Pakistan’s Federal Investigation Agency responsible for investigating financial, corporate, and white-collar crimes.
  • D. Economic Offences Wing
    The Economic Offences Wing is a specialized investigative unit of the Delhi Police that handles complex financial crimes such as fraud, cheating, and economic scams.
  • E. Economic Offences Wing
    The Economic Offences Wing is a specialized investigative unit of the Uttar Pradesh Police that focuses on complex financial crimes, frauds, and economic offences.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c09fdc819097a7fa07d44b0505 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.