Triple

T2976795
Position Surface form Disambiguated ID Type / Status
Subject European Quarter E80416 entity
Predicate adjacentTo P224 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: [European Quarter, adjacentTo, Leopold Quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopold Quarter
Context triple: [European Quarter, adjacentTo, 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. Nikolaiviertel
    Nikolaiviertel is a historic quarter in central Berlin known for its reconstructed medieval-style streets, traditional German restaurants, and proximity to the Spree River.
  • D. 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.
  • E. Untermarkt
    Untermarkt is the historic lower market square in Görlitz, Germany, known for its well-preserved medieval and Renaissance architecture.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998c589c8190b4530f3fb8975187 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ecef788190ad40dba81f1036c6 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.