Triple

T8219510
Position Surface form Disambiguated ID Type / Status
Subject Europol Information System E192020 entity
Predicate relatedTo P37 FINISHED
Object Europol Secure Information Exchange Network Application E192021 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: Europol Secure Information Exchange Network Application | Statement: [Europol Information System, relatedTo, Europol Secure Information Exchange Network Application]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Europol Secure Information Exchange Network Application
Context triple: [Europol Information System, relatedTo, Europol Secure Information Exchange Network Application]
  • A. Secure Information Exchange Network Application chosen
    The Secure Information Exchange Network Application (SIENA) is Europol’s secure communication platform used by law enforcement authorities across Europe to exchange sensitive criminal intelligence and operational information.
  • B. Europol Information System
    The Europol Information System is a centralized EU law enforcement database that stores and shares criminal intelligence to support cross-border crime investigations among member states.
  • C. FBI information sharing environment
    The FBI information sharing environment is the bureau’s integrated framework, systems, and policies for securely exchanging intelligence and investigative data with internal units and external partners across the law enforcement and intelligence communities.
  • D. Centre for Collaboration with Security Networks
    The Centre for Collaboration with Security Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on coordinating and strengthening cooperation with security and preparedness networks to protect public health.
  • E. Centre for Collaboration with Surveillance Networks
    The Centre for Collaboration with Surveillance Networks is a specialized unit within Norway’s public health system that coordinates and strengthens national and international disease surveillance and data-sharing efforts.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7772b76c8190b1952650c736eb91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee01ed9c819086bfc35e89f7bad8 completed April 1, 2026, 10:05 a.m.
Created at: March 30, 2026, 5:45 p.m.