Triple

T103676
Position Surface form Disambiguated ID Type / Status
Subject States General of the Netherlands E2094 entity
Predicate meetsAt P373 FINISHED
Object Binnenhof E15047 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: Binnenhof | Statement: [States General of the Netherlands, meetsAt, Binnenhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binnenhof
Context triple: [States General of the Netherlands, meetsAt, Binnenhof]
  • A. Binnenhof chosen
    Binnenhof is a historic complex of buildings in The Hague that serves as the political heart of the Netherlands, housing key institutions of the national government.
  • B. Royal Palace of Amsterdam
    The Royal Palace of Amsterdam is a 17th-century former city hall on Dam Square that now serves as one of the official residences and ceremonial venues of the Dutch monarch.
  • C. Royal Palace of Brussels
    The Royal Palace of Brussels is the official administrative palace of the Belgian monarchy in central Brussels, used for state functions and ceremonies.
  • D. Herrenhausen Palace
    Herrenhausen Palace is a historic royal residence in Hanover, Germany, best known as the summer seat of the House of Hanover and for its extensive baroque gardens.
  • E. Luitpoldhain
    Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256aaed108190ba12e36364d30ede completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b01662f88190a4997a3e86c17946 completed Feb. 28, 2026, 9:06 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.