Triple

T287891
Position Surface form Disambiguated ID Type / Status
Subject Herman De Croo E5924 entity
Predicate familyName P18 FINISHED
Object De Croo E5924 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: De Croo | Statement: [Herman De Croo, familyName, De Croo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Croo
Context triple: [Herman De Croo, familyName, De Croo]
  • A. De Croo chosen
    De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
  • B. 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.
  • C. La Hulpe, Belgium
    La Hulpe is a small municipality in Walloon Brabant, Belgium, known for hosting the headquarters of the global financial messaging network SWIFT and for its nearby Solvay Castle and park.
  • D. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • E. Daniël Stalpaert
    Daniël Stalpaert was a 17th-century Dutch architect and city planner known for his influential role in shaping Amsterdam’s urban landscape.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e2f5c0081908e548b314f5e986d completed Feb. 28, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3b470104481909a88b9ceba6e6ddb completed March 1, 2026, 3:37 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.