Triple

T16620403
Position Surface form Disambiguated ID Type / Status
Subject Rutte IV E403807 entity
Predicate meetsIn P40 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: [Rutte IV, meetsIn, Binnenhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binnenhof
Context triple: [Rutte IV, meetsIn, 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. Binnenhof
    Binnenhof is a metro station in Rotterdam, Netherlands, serving as a key terminus on the city’s rapid transit network.
  • C. Egmont Palace
    Egmont Palace is a historic neoclassical palace in central Brussels, Belgium, now used primarily for diplomatic and governmental functions.
  • D. 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.
  • E. The Hague City Hall
    The Hague City Hall is a prominent modern civic complex in the center of The Hague, known for its striking white architecture by Richard Meier and its role as the seat of the municipal government.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754d6b4c81908eab5210c386ea15 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007da8c5048190aaa9350f8fcc8a2e completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.