Triple

T14087461
Position Surface form Disambiguated ID Type / Status
Subject Midden-Drenthe E339033 entity
Predicate containsSettlement P847 FINISHED
Object Kloosterveen E566957 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: Kloosterveen | Statement: [Midden-Drenthe, containsSettlement, Kloosterveen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kloosterveen
Context triple: [Midden-Drenthe, containsSettlement, Kloosterveen]
  • A. Kloosterveen chosen
    Kloosterveen is a residential district of the city of Assen in the province of Drenthe in the Netherlands.
  • B. Oostzaan
    Oostzaan is a small municipality in the province of North Holland in the Netherlands, located just north of Amsterdam.
  • C. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • D. Giethoorn
    Giethoorn is a picturesque Dutch village famous for its canals, thatched-roof farmhouses, and boat-only waterways, often called the "Venice of the Netherlands."
  • E. Zuiderwoude
    Zuiderwoude is a small historic village in the Dutch province of North Holland, known for its traditional wooden houses and watery polder landscape near Amsterdam.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee1ce88819091c983286289337e completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefe88b481908b3dca1f019e7809 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:21 p.m.