Triple

T22217940
Position Surface form Disambiguated ID Type / Status
Subject Zuidwolde E549126 entity
Predicate locatedIn P40 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: [Zuidwolde, locatedIn, Drenthe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drenthe
Context triple: [Zuidwolde, locatedIn, 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8ddb448190a45f0418d813afd0 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.