Triple

T18085128
Position Surface form Disambiguated ID Type / Status
Subject Blokzijl E432813 entity
Predicate partOf P40 FINISHED
Object Steenwijkerland 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: Steenwijkerland | Statement: [Blokzijl, partOf, Steenwijkerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steenwijkerland
Context triple: [Blokzijl, partOf, Steenwijkerland]
  • A. Steenwijkerland region chosen
    The Steenwijkerland region is a municipality in the Dutch province of Overijssel, known for its historic town of Steenwijk and its proximity to the wetlands and waterways of the Weerribben-Wieden National Park.
  • B. Vierpolders
    Vierpolders is a village in the Dutch province of South Holland, known for its rural character and location near the town of Brielle.
  • C. Hoogblokland
    Hoogblokland is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • D. Brandwijk
    Brandwijk is a small village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
  • E. Land van Heusden
    Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
  • 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.