Triple

T4100375
Position Surface form Disambiguated ID Type / Status
Subject Sallands E87924 entity
Predicate neighboringDialect P18451 FINISHED
Object Drents E171047 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: Drents | Statement: [Sallands, neighboringDialect, Drents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drents
Context triple: [Sallands, neighboringDialect, Drents]
  • 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. Flevoland
    Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central 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. Gelderland
    Gelderland is a large province in the eastern Netherlands known for its varied landscapes, including the forested Veluwe region and the river areas along the Rhine, Waal, and IJssel.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0d9c508190b8aedf83f3310513 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daed5d188190b499151e636d206d completed March 28, 2026, 1:43 p.m.
Created at: March 9, 2026, 3:40 p.m.