Triple

T17409476
Position Surface form Disambiguated ID Type / Status
Subject Kees van Dongen E423308 entity
Predicate placeOfBirth P1 FINISHED
Object Delfshaven 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: Delfshaven | Statement: [Kees van Dongen, placeOfBirth, Delfshaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delfshaven
Context triple: [Kees van Dongen, placeOfBirth, Delfshaven]
  • A. Bleiswijk
    Bleiswijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the municipality of Lansingerland.
  • B. Hellevoetsluis
    Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
  • C. Zaandam
    Zaandam is a city in the North Holland province of the Netherlands, known for its historic windmills, traditional wooden houses, and proximity to Amsterdam.
  • D. Schiedam chosen
    Schiedam is a Dutch city renowned for its historic jenever (gin) distilleries and exceptionally tall traditional windmills, located near Rotterdam in the province of South Holland.
  • E. Katwijk
    Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0990f48190b62d73087ae1a0d7 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.