Triple

T20791465
Position Surface form Disambiguated ID Type / Status
Subject Bilthoven E511786 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Groenekan 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: Groenekan | Statement: [Bilthoven, hasNeighbouringSettlement, Groenekan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groenekan
Context triple: [Bilthoven, hasNeighbouringSettlement, Groenekan]
  • A. Groenekan chosen
    Groenekan is a small village in the Dutch province of Utrecht, situated near the city of Utrecht and administratively part of the municipality of De Bilt.
  • B. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • C. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • 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. Boonenberg
    Boonenberg is a famed cobbled climb in the Tour of Flanders, nicknamed for Belgian cyclist Tom Boonen due to his repeated dominance on it.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2910d488190bc4be37512effc86 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.