Triple

T1798564
Position Surface form Disambiguated ID Type / Status
Subject Leopold II of Belgium E39660 entity
Predicate deathPlace P21 FINISHED
Object Laeken E144770 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: Laeken | Statement: [Leopold II of Belgium, deathPlace, Laeken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laeken
Context triple: [Leopold II of Belgium, deathPlace, Laeken]
  • A. Laeken chosen
    Laeken is a residential district in the north of Brussels, Belgium, known for its royal palace, extensive parks, and role as the traditional home of the Belgian monarchy.
  • B. Ixelles
    Ixelles is a vibrant, multicultural municipality of the Brussels-Capital Region in Belgium, known for its Art Nouveau architecture, lively student population, and cultural institutions.
  • C. Etterbeek
    Etterbeek is a municipality in the Brussels-Capital Region of Belgium, known for its European Union institutions, urban character, and proximity to central Brussels.
  • D. Vilvoorde
    Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
  • E. Knokke-Heist
    Knokke-Heist is a Belgian coastal resort town known for its beaches, upscale tourism, and proximity to the Dutch border.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6568373c81908044e0cd8a38344d completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf15a4248190b898e3bfbeb2997a completed March 10, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:32 p.m.