Triple

T14918378
Position Surface form Disambiguated ID Type / Status
Subject Hoge Veluwe sculpture garden E371441 entity
Predicate hasDesignContributionFrom P30146 FINISHED
Object Wim Quist E1013061 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: Wim Quist | Statement: [Hoge Veluwe sculpture garden, hasDesignContributionFrom, Wim Quist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wim Quist
Context triple: [Hoge Veluwe sculpture garden, hasDesignContributionFrom, Wim Quist]
  • A. Wim Quist chosen
    Wim Quist is a Dutch modernist architect renowned for his minimalist, geometric museum and public building designs.
  • B. André Rouvoet
    André Rouvoet is a Dutch politician of the ChristianUnion party who served as Deputy Prime Minister and Minister for Youth and Family Affairs in the Netherlands.
  • C. Wim de Wit
    Wim de Wit is a Dutch art historian and curator known for his work on modern architecture and design.
  • D. Dirk Frimout
    Dirk Frimout is a Belgian astrophysicist and astronaut who became the first Belgian in space during a Space Shuttle mission.
  • E. Rudy Kousbroek
    Rudy Kousbroek was a Dutch essayist and columnist known for his rationalist, skeptical writings on culture, language, and science.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62f76bc81909ebc8899096cd1a0 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bd1a4548190a14e246ab69ed21c completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:33 a.m.