Triple

T21557089
Position Surface form Disambiguated ID Type / Status
Subject Vilvoorde E531920 entity
Predicate hasMayor P185 FINISHED
Object Hans Bonte 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: Hans Bonte | Statement: [Vilvoorde, hasMayor, Hans Bonte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Bonte
Context triple: [Vilvoorde, hasMayor, Hans Bonte]
  • A. Hans Bonte chosen
    Hans Bonte is a Belgian politician known for serving as the mayor of Vilvoorde and as a member of the federal parliament.
  • B. Willem Drost
    Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
  • C. Dolf de Borst
    Dolf de Borst is a New Zealand musician best known as the lead vocalist and bassist of the rock band The Datsuns.
  • D. Willem Koenders
    Willem Koenders is a relatively obscure individual about whom no widely known public or historical information is readily available.
  • E. Jan van Bijlert
    Jan van Bijlert was a Dutch Golden Age painter associated with the Utrecht Caravaggisti, known for his religious, genre, and portrait works influenced by Caravaggio’s dramatic use of light and shadow.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e04b048190ac3a9913094b4625 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.