Triple

T21417799
Position Surface form Disambiguated ID Type / Status
Subject Berghuizen E528351 entity
Predicate hasProvince P285 FINISHED
Object Drenthe 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: Drenthe | Statement: [Berghuizen, hasProvince, Drenthe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drenthe
Context triple: [Berghuizen, hasProvince, Drenthe]
  • A. Drenthe chosen
    Drenthe is a rural province in the northeastern Netherlands known for its prehistoric dolmens, heathlands, and forests.
  • B. Midden-Drenthe
    Midden-Drenthe is a rural municipality in the northeastern Netherlands known for its villages, natural landscapes, and location in the province of Drenthe.
  • C. Drents
    Drents is a Low Saxon dialect spoken in the Dutch province of Drenthe, closely related to neighboring regional varieties in the northeastern Netherlands.
  • D. Overijssel
    Overijssel is a province in the eastern Netherlands known for its historic Hanseatic cities, rivers, and varied landscapes of forests, heathlands, and farmland.
  • E. Flevoland
    Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central Netherlands.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee62d29f948190b820c92014d1c53a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:46 p.m.