Triple

T20009353
Position Surface form Disambiguated ID Type / Status
Subject Leeuwarden E494545 entity
Predicate hasNotableBuilding P1544 FINISHED
Object Waaggebouw NE NERFINISHED

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: Waaggebouw | Statement: [Leeuwarden, hasNotableBuilding, Waaggebouw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waaggebouw
Context triple: [Leeuwarden, hasNotableBuilding, Waaggebouw]
  • A. Klokgebouw
    Klokgebouw is a former Philips industrial building in Eindhoven’s Strijp district that has been transformed into a prominent venue for creative industries, events, and cultural activities.
  • B. Waag building
    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.
  • C. Willem III Tower
    Willem III Tower is a historic clock and bell tower in Oranjestad, Aruba, known as a prominent colonial-era landmark overlooking the harbor.
  • D. Waag Nijmegen chosen
    Waag Nijmegen is a historic weigh house and landmark building located on the central market square in the Dutch city of Nijmegen.
  • E. Rotterdam City Hall
    Rotterdam City Hall is the historic administrative building in central Rotterdam that houses the city’s main municipal government offices and official functions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a81c5881909692fcaaf59a57c9 completed April 20, 2026, 5:26 p.m.
Created at: April 11, 2026, 3:33 p.m.