Triple

T19077604
Position Surface form Disambiguated ID Type / Status
Subject Edmond Thieffry E466944 entity
Predicate placeOfBirth P1 FINISHED
Object Etterbeek 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: Etterbeek | Statement: [Edmond Thieffry, placeOfBirth, Etterbeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etterbeek
Context triple: [Edmond Thieffry, placeOfBirth, Etterbeek]
  • A. Etterbeek chosen
    Etterbeek is a municipality in the Brussels-Capital Region of Belgium, known for its European Union institutions, urban character, and proximity to central Brussels.
  • B. Molenbeek-Saint-Jean
    Molenbeek-Saint-Jean is a densely populated municipality in the Brussels-Capital Region of Belgium, known for its cultural diversity and proximity to the city center.
  • C. Schaerbeek
    Schaerbeek is a multicultural municipality in the Brussels-Capital Region of Belgium, known for its Art Nouveau architecture and urban character.
  • D. 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.
  • E. Bois-de-Lessines
    Bois-de-Lessines is a village in the municipality of Lessines in the Hainaut province of Wallonia, Belgium.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e5591081908a4f8e4b2011b408 completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.