Triple

T6902502
Position Surface form Disambiguated ID Type / Status
Subject Nieuwmarkt area E159526 entity
Predicate touristAttraction P530 FINISHED
Object Waag building E627259 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: Waag building | Statement: [Nieuwmarkt area, touristAttraction, Waag building]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waag building
Context triple: [Nieuwmarkt area, touristAttraction, Waag building]
  • A. Waag building chosen
    The Waag building is a historic 15th-century former city gate and weighing house in Amsterdam, now a prominent monument known for its distinctive medieval architecture and cultural uses.
  • B. Hamburg City Hall
    Hamburg City Hall is the historic neo-Renaissance city hall of Hamburg, Germany, serving as the seat of the city’s government and senate.
  • C. Bremen Town Hall
    Bremen Town Hall is a historic Gothic and Renaissance-style building in Bremen, Germany, renowned as a UNESCO World Heritage Site and the seat of the city’s government.
  • D. Cölln town hall
    Cölln town hall was the historic municipal building that served as the administrative and political center of the former city of Cölln, now part of Berlin.
  • E. Rotes Rathaus
    Rotes Rathaus is the historic red-brick town hall of Berlin, serving as the seat of the city’s governing mayor and senate.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98749208190842ac075255ca249 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7617d81288190b38a67552f228933 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:25 p.m.