Triple

T1490561
Position Surface form Disambiguated ID Type / Status
Subject van Dam E29567 entity
Predicate usedInCountry P715 FINISHED
Object Belgium E364 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: Belgium | Statement: [van Dam, usedInCountry, Belgium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belgium
Context triple: [van Dam, usedInCountry, Belgium]
  • A. Belgium chosen
    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.
  • B. Germany and Belgium
    Germany and Belgium are neighboring Western European countries whose mutual border was internationally guaranteed in the interwar period as part of efforts to stabilize post–World War I Europe.
  • C. Netherlands
    The Netherlands is a Western European country known for its low-lying geography, extensive canal systems, and historically significant role in global trade and European politics.
  • D. Flanders
    Flanders is the Dutch-speaking northern region of Belgium, known for its rich medieval cities, strong economy, and distinct cultural identity.
  • E. Luxemburg
    Luxemburg is a surname most famously associated with Rosa Luxemburg, the Marxist theorist, revolutionary socialist, and co-founder of the Spartacist League in Germany.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c233ec819087e1233af02aabfc completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f56b348190b71875b0c839c729 completed March 8, 2026, 11:15 p.m.
Created at: March 1, 2026, 8:12 p.m.