Triple

T18085204
Position Surface form Disambiguated ID Type / Status
Subject Steenwijkerland E432815 entity
Predicate containsSettlement P847 FINISHED
Object Wanneperveen 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: Wanneperveen | Statement: [Steenwijkerland, containsSettlement, Wanneperveen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanneperveen
Context triple: [Steenwijkerland, containsSettlement, Wanneperveen]
  • A. Wanneperveen chosen
    Wanneperveen is a rural village in the Dutch province of Overijssel, known for its lakes, peat landscapes, and water-based recreation.
  • B. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • C. Wassen
    Wassen is a small Swiss village in the canton of Uri, known for its picturesque church and location along the Gotthard railway and road routes in the central Alps.
  • D. Ederveen
    Ederveen is a village in the Dutch province of Gelderland, known for its rural character and location within the municipality of Ede.
  • E. Weener
    Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.