Triple

T10864745
Position Surface form Disambiguated ID Type / Status
Subject Nieuwmarkt E256497 entity
Predicate knownFor P22 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, knownFor, Waag building]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waag building
Context triple: [Nieuwmarkt, knownFor, 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. Opernturm
    Opernturm is a prominent modern high-rise office tower in Frankfurt am Main, Germany, known for its sleek design and contribution to the city’s financial district skyline.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7516b2f148190adbacd35fc8c2056 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d5359c8190b46a6b817938eb67 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.