Triple

T332685
Position Surface form Disambiguated ID Type / Status
Subject Bastogne E6658 entity
Predicate locatedIn 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: [Bastogne, locatedIn, Wallonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wallonia
Context triple: [Bastogne, locatedIn, 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. Flanders
    Flanders is the Dutch-speaking northern region of Belgium, known for its rich medieval cities, strong economy, and distinct cultural identity.
  • C. Brussels-Capital Region
    The Brussels-Capital Region is the bilingual federal region of Belgium that includes the city of Brussels and serves as a major political center hosting numerous international institutions.
  • D. West Flanders
    West Flanders is a coastal province in the northwest of Belgium known for its historic towns, North Sea shoreline, and role in World War I.
  • E. Belgium
    Belgium is a Western European country known for its role as a founding member of major international organizations, including NATO and the European Union, and for hosting many of their key institutions.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eab1a7048190ac690ddc2e294914 completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a467f8341081909e4fbdbe44a2e799 completed March 1, 2026, 4:23 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.