Triple

T14161962
Position Surface form Disambiguated ID Type / Status
Subject Drakesteijn E350969 entity
Predicate nearbySettlement P350 FINISHED
Object Lage Vuursche E481214 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: Lage Vuursche | Statement: [Drakesteijn, nearbySettlement, Lage Vuursche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lage Vuursche
Context triple: [Drakesteijn, nearbySettlement, Lage Vuursche]
  • A. Lage Vuursche chosen
    Lage Vuursche is a small, historic village in the Dutch province of Utrecht, known for its forests, royal estate nearby, and popular pancake restaurants.
  • B. Zandbergen
    Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • C. Vantongerloo
    Vantongerloo is the surname of Georges Vantongerloo, a Belgian abstract artist and sculptor associated with the De Stijl movement.
  • D. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • E. Lage Zwaluwe
    Lage Zwaluwe is a village in the Dutch province of North Brabant, known for its proximity to the Biesbosch National Park and its railway connections.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de613a4a2081908fd51bf4b4d82b6c completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f166988190a96d01fb4bd1438e completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:59 a.m.