Triple

T20216274
Position Surface form Disambiguated ID Type / Status
Subject Zwarte Water E495132 entity
Predicate hasBankSettlement P57254 FINISHED
Object Genemuiden 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: Genemuiden | Statement: [Zwarte Water, hasBankSettlement, Genemuiden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genemuiden
Context triple: [Zwarte Water, hasBankSettlement, Genemuiden]
  • A. Genemuiden chosen
    Genemuiden is a small Dutch town in the province of Overijssel, historically known for its carpet and mat industry.
  • B. Leiderdorp
    Leiderdorp is a town and municipality in the western Netherlands, situated near the city of Leiden in the province of South Holland.
  • C. Bezuidenhout
    Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
  • D. Mijdrecht
    Mijdrecht is a town in the Dutch province of Utrecht known as the main population and service center of the municipality of De Ronde Venen.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8cc8c8190889ecadc702010d8 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.