Triple

T21279745
Position Surface form Disambiguated ID Type / Status
Subject Oosterhout E524485 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Dongen 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: Dongen | Statement: [Oosterhout, hasNeighboringMunicipality, Dongen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongen
Context triple: [Oosterhout, hasNeighboringMunicipality, Dongen]
  • A. Dongen chosen
    Dongen is a municipality and town in the province of North Brabant in the southern Netherlands.
  • B. Vollenhoven
    Vollenhoven is a Dutch surname most notably associated with philosopher D. H. Th. Vollenhoven, a key figure in Reformational philosophy.
  • C. Voskuijl
    Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
  • D. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • E. Heijningen
    Heijningen is a small village in the Dutch province of North Brabant, located in the municipality of Moerdijk.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73659b56c8190af283348378b1cff completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:02 p.m.