Triple

T18583488
Position Surface form Disambiguated ID Type / Status
Subject Lange Vijverberg E454178 entity
Predicate adjacentTo P224 FINISHED
Object Binnenhof complex 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: Binnenhof complex | Statement: [Lange Vijverberg, adjacentTo, Binnenhof complex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binnenhof complex
Context triple: [Lange Vijverberg, adjacentTo, Binnenhof complex]
  • A. Binnenhof
    Binnenhof is a metro station in Rotterdam, Netherlands, serving as a key terminus on the city’s rapid transit network.
  • B. 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.
  • C. Noordeinde Palace
    Noordeinde Palace is one of the three official palaces of the Dutch royal family, serving primarily as the working palace of the King of the Netherlands in The Hague.
  • D. Egmont Palace
    Egmont Palace is a historic neoclassical palace in central Brussels, Belgium, now used primarily for diplomatic and governmental functions.
  • E. Kneuterdijk Palace
    Kneuterdijk Palace is a historic royal palace in The Hague, Netherlands, long associated with the Dutch royal family and notable residents such as Anna Pavlovna of Russia.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543d200dc8190b8797d731f4e4865 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:44 a.m.