Triple

T436371
Position Surface form Disambiguated ID Type / Status
Subject Brussels E10018 entity
Predicate isSeatOf P62 FINISHED
Object Eurocontrol E2723 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: Eurocontrol | Statement: [Brussels, isSeatOf, Eurocontrol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurocontrol
Context triple: [Brussels, isSeatOf, Eurocontrol]
  • A. Eurocontrol chosen
    Eurocontrol is a pan-European intergovernmental organization responsible for coordinating and managing air traffic control across much of Europe.
  • B. International Civil Aviation Organization
    The International Civil Aviation Organization is a United Nations specialized agency that sets global standards and regulations to ensure safe, efficient, and orderly international civil aviation.
  • C. EASA
    EASA is a European learned society that brings together scientists, artists, and scholars to promote interdisciplinary research, dialogue, and the advancement of knowledge across Europe.
  • D. EASA
    EASA is the European Union Aviation Safety Agency responsible for civil aviation safety regulation and oversight across EU member states.
  • E. Air Traffic Control Centre
    The Air Traffic Control Centre is a Belgian Air Force unit responsible for managing and coordinating military air traffic within Belgian airspace.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef0c97188190b62104cb639d4b60 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e706fd8819082dd795fcad5465c completed March 1, 2026, 1:26 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.