Triple

T22762068
Position Surface form Disambiguated ID Type / Status
Subject Federal Criminal Police Office of Germany E563017 entity
Predicate cooperatesWith P435 FINISHED
Object Europol NE NERFINISHED

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 | Statement: [Federal Criminal Police Office of Germany, cooperatesWith, Europol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europol
Context triple: [Federal Criminal Police Office of Germany, cooperatesWith, Europol]
  • A. Europol chosen
    Europol is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
  • B. Evra
    Evra is a French former professional footballer best known for his successful career as a left-back with Manchester United and the French national team.
  • C. Europaeum
    Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
  • D. Europos
    Europos was an ancient Macedonian town traditionally identified as the birthplace of the Seleucid Empire’s founder, Seleucus I Nicator.
  • E. Europos
    Europos is an ancient city historically known as Rayy (or Rey), located near modern-day Tehran in Iran and recognized as one of the oldest continuously inhabited settlements in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7d09ac8190b773e8977cb8a829 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.