Triple

T2408164
Position Surface form Disambiguated ID Type / Status
Subject Berlaymont building E50322 entity
Predicate near P350 FINISHED
Object Europa building E75719 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: Europa building | Statement: [Berlaymont building, near, Europa building]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europa building
Context triple: [Berlaymont building, near, Europa building]
  • A. Europa building chosen
    The Europa building is a landmark complex in Brussels that serves as the main seat for high-level European Union summits and meetings of EU leaders.
  • B. Palais de l’Europe
    The Palais de l’Europe is a modernist governmental building in Strasbourg that serves as the main seat of the Council of Europe.
  • C. Piast Tower
    Piast Tower is a historic medieval defensive tower in Opole, Poland, and one of the city’s most recognizable architectural symbols.
  • D. Commerzbank Tower
    Commerzbank Tower is a prominent Frankfurt skyscraper known for its innovative eco-friendly design and status as one of Europe’s tallest office buildings.
  • E. Nouvel Building
    The Nouvel Building is a contemporary extension of Madrid’s Museo Reina Sofía, designed by architect Jean Nouvel to house additional exhibition spaces and cultural facilities.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc92408308190ad2d331ebee71d15 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3eba9d08190a2c63e590e08b4df completed March 9, 2026, 11:50 a.m.
Created at: March 4, 2026, 7:58 p.m.