Triple

T23010055
Position Surface form Disambiguated ID Type / Status
Subject Toronto Police Service E572881 entity
Predicate hasSpecialUnit P1198 FINISHED
Object Financial Crimes Unit 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: Financial Crimes Unit | Statement: [Toronto Police Service, hasSpecialUnit, Financial Crimes Unit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Financial Crimes Unit
Context triple: [Toronto Police Service, hasSpecialUnit, Financial Crimes Unit]
  • A. Financial Crime Unit
    The Financial Crime Unit is a specialized division of the Isle of Man Constabulary responsible for investigating and combating financial and economic crimes, including fraud, money laundering, and related offenses.
  • B. Financial Crime Unit
    The Financial Crime Unit is a specialized division of the Bermuda Police Service responsible for investigating fraud, money laundering, and other complex financial offenses.
  • C. Fraud Unit
    The Fraud Unit is a specialized division within the Texas Department of Insurance responsible for investigating and combating insurance-related fraud across the state.
  • D. 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.
  • E. 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.
  • 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: Financial Crimes Unit
Target entity description: The Financial Crimes Unit is a specialized Toronto Police Service division that investigates complex financial offenses such as fraud, scams, and other economic crimes.
  • A. Financial Crime Unit
    The Financial Crime Unit is a specialized division of the Isle of Man Constabulary responsible for investigating and combating financial and economic crimes, including fraud, money laundering, and related offenses.
  • B. Financial Crime Unit
    The Financial Crime Unit is a specialized division of the Bermuda Police Service responsible for investigating fraud, money laundering, and other complex financial offenses.
  • C. Fraud Unit
    The Fraud Unit is a specialized division within the Texas Department of Insurance responsible for investigating and combating insurance-related fraud across the state.
  • D. 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.
  • E. 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.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18359f5548190b15a139eb09e30a0 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.