Triple

T9676518
Position Surface form Disambiguated ID Type / Status
Subject Reparto Prevenzione Crimine E234165 entity
Predicate typeOfUnit P6008 FINISHED
Object reparto mobile di prevenzione E234165 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: reparto mobile di prevenzione | Statement: [Reparto Prevenzione Crimine, typeOfUnit, reparto mobile di prevenzione]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: reparto mobile di prevenzione
Context triple: [Reparto Prevenzione Crimine, typeOfUnit, reparto mobile di prevenzione]
  • A. Reparto Prevenzione Crimine chosen
    Reparto Prevenzione Crimine is a specialized operational unit of Italy’s Polizia di Stato focused on crime prevention and territorial control through high-visibility patrols and targeted interventions.
  • B. Reparto Mobile
    Reparto Mobile is a specialized rapid-response and crowd-control unit of Italy’s national police force, the Polizia di Stato.
  • C. faculty of preventive activities
    The faculty of preventive activities is an academic division of Kharkiv National University of Internal Affairs that specializes in training law enforcement professionals in crime prevention and public safety.
  • D. Center for Preventive Action
    The Center for Preventive Action is a program of the Council on Foreign Relations that focuses on identifying and preventing emerging conflicts and crises around the world through analysis, policy recommendations, and contingency planning.
  • E. Prevent
    Prevent is a UK government counter-terrorism strategy focused on identifying and supporting individuals at risk of radicalisation to stop them from becoming involved in terrorism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c99ee0481908ead5f7112117c90 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a30883081909e8f70225b6ee820 completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:15 p.m.