Triple

T4824866
Position Surface form Disambiguated ID Type / Status
Subject Namur E107798 entity
Predicate capitalOf P204 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: [Namur, capitalOf, Wallonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wallonia
Context triple: [Namur, capitalOf, 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. Walloon Brabant
    Walloon Brabant is a predominantly French-speaking province in central Belgium known for its historic towns, universities, and proximity to Brussels.
  • E. Flanders
    Flanders is the Dutch-speaking northern region of Belgium, known for its rich medieval cities, strong economy, and distinct cultural identity.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cadb2bc81909455149e46eb593a completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa1b5c0e081909c9a923eef50018c completed March 22, 2026, 8 a.m.
Created at: March 20, 2026, 1:24 p.m.