Triple

T21668859
Position Surface form Disambiguated ID Type / Status
Subject Koekelberg E534791 entity
Predicate hasNameInDutch P13254 FINISHED
Object Koekelberg 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: Koekelberg | Statement: [Koekelberg, hasNameInDutch, Koekelberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koekelberg
Context triple: [Koekelberg, hasNameInDutch, Koekelberg]
  • A. Koekelberg chosen
    Koekelberg is a small municipality in the Brussels-Capital Region of Belgium, known for the National Basilica of the Sacred Heart that dominates its skyline.
  • B. Schaerbeek
    Schaerbeek is a multicultural municipality in the Brussels-Capital Region of Belgium, known for its Art Nouveau architecture and urban character.
  • C. Zeveren
    Zeveren is a village in East Flanders, Belgium, that forms part of the city of Deinze.
  • D. Werchter
    Werchter is a village in the Flemish Brabant province of Belgium, best known for hosting the annual Rock Werchter music festival.
  • E. Kleine-Brogel
    Kleine-Brogel is a village in the municipality of Peer in the Belgian province of Limburg, known for hosting a major military air base.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0e008c8190a549d275b1c98e0b completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:37 p.m.