Triple

T1281761
Position Surface form Disambiguated ID Type / Status
Subject Espace Léopold complex E27340 entity
Predicate namedAfter P63 FINISHED
Object Leopold Quarter E78980 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: Leopold Quarter | Statement: [Espace Léopold complex, namedAfter, Leopold Quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopold Quarter
Context triple: [Espace Léopold complex, namedAfter, Leopold Quarter]
  • A. Leopold Quarter chosen
    Leopold Quarter is a prominent business and administrative district in Brussels, Belgium, known for hosting key European Union institutions and offices.
  • B. Bayerisches Viertel
    Bayerisches Viertel is a historic residential neighborhood in Berlin known for its early 20th-century architecture and its significant Jewish cultural and memorial heritage.
  • C. Leopoldplatz
    Leopoldplatz is a major public square and important transport hub in Berlin’s Wedding district, served by multiple U-Bahn lines and numerous bus routes.
  • D. Wenceslas Square
    Wenceslas Square is a major historic boulevard and commercial center in Prague, renowned as a focal point for political demonstrations and public gatherings in Czech history.
  • E. Leopoldstadt district, Vienna
    Leopoldstadt is Vienna’s 2nd municipal district, a historically Jewish and now diverse central area on an island between the Danube and the Danube Canal.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b317788190a1672b5ee422a049 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacba08f881909230c2d9459d4bc4 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:50 p.m.