Triple

T11106436
Position Surface form Disambiguated ID Type / Status
Subject Kent Police E262639 entity
Predicate hasSpecialUnit P1198 FINISHED
Object Cyber Crime Unit unclear NED1 NE FINISHED

How this triple was built (2 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: Cyber Crime Unit | Statement: [Kent Police, hasSpecialUnit, Cyber Crime Unit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyber Crime Unit
Context triple: [Kent Police, hasSpecialUnit, Cyber Crime Unit]
  • A. 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.
  • B. Cyber Crime Unit
    The Cyber Crime Unit is a specialist division of the City of London Police dedicated to investigating and combating cyber-enabled and computer-based criminal activity.
  • C. Cyber Crime Unit
    The Cyber Crime Unit is a specialized division of York Regional Police that investigates and combats offenses involving computers, networks, and digital evidence.
  • D. 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.
  • E. Cybercrime unit
    The Cybercrime unit is a specialized law enforcement team focused on investigating and combating offenses committed using computers, networks, and digital technologies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (3 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a64319481909926cebfdd47184d completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d7016908190bb7aadadacb5b50f completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.