Triple

T7745730
Position Surface form Disambiguated ID Type / Status
Subject Expo 58 E175624 entity
Predicate hostCity P1798 FINISHED
Object Brussels E10018 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: Brussels | Statement: [Expo 58, hostCity, Brussels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brussels
Context triple: [Expo 58, hostCity, Brussels]
  • A. Brussels, Belgium chosen
    Brussels, Belgium is the capital city of Belgium and a major political center of Europe, hosting key institutions such as the European Union and numerous international organizations.
  • B. Antwerp
    Antwerp is a major Belgian port city on the River Scheldt, renowned as a global center for the diamond trade and its historic Flemish art and architecture.
  • C. Maastricht
    Maastricht is a historic city in the southeastern Netherlands known for its medieval architecture, vibrant cultural scene, and as the birthplace of the Maastricht Treaty that founded the European Union.
  • D. Brussels metropolitan area
    The Brussels metropolitan area is the large urban region centered on Belgium’s capital, encompassing Brussels and its surrounding municipalities and commuter towns.
  • E. Tervuren
    Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7038b46bc8190b3a8a9da09d2b8df completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9567fd22881909bd8f4972144be22 completed March 29, 2026, 4:42 p.m.
Created at: March 27, 2026, 4:07 p.m.