Triple

T10188476
Position Surface form Disambiguated ID Type / Status
Subject Florennes E236971 entity
Predicate region P40 FINISHED
Object Wallonia E21626 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: Wallonia | Statement: [Florennes, region, Wallonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wallonia
Context triple: [Florennes, region, Wallonia]
  • A. Wallonia chosen
    Wallonia is the predominantly French-speaking southern region of Belgium, known for its industrial heritage, cultural distinctiveness, and political autonomy within the Belgian federal state.
  • B. Flemish Region
    The Flemish Region is the Dutch-speaking northern part of Belgium, known for its dense urban centers, strong economy, and distinct cultural identity within the Belgian federation.
  • C. Flemish Brabant
    Flemish Brabant is a central Belgian province in the Flanders region, known for its mix of historic towns, rural landscapes, and proximity to Brussels.
  • D. Western Belgium
    Western Belgium is a region along the North Sea encompassing parts of Flanders, historically known for the World War I battlefields and memorials of Flanders Fields.
  • E. Walloon Brabant
    Walloon Brabant is a predominantly French-speaking province in central Belgium known for its historic towns, universities, and proximity to Brussels.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7c3278819093312665b54d888c completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7941d893c81909f3b3bcf827e796d completed April 9, 2026, 11:57 a.m.
Created at: March 30, 2026, 9:12 p.m.