Triple

T10569303
Position Surface form Disambiguated ID Type / Status
Subject Nieuwe Wetering E249436 entity
Predicate partOf P40 FINISHED
Object Kaag en Braassem area E867989 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: Kaag en Braassem area | Statement: [Nieuwe Wetering, partOf, Kaag en Braassem area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaag en Braassem area
Context triple: [Nieuwe Wetering, partOf, Kaag en Braassem area]
  • A. Kaag en Braassem area chosen
    The Kaag en Braassem area is a municipality in South Holland, Netherlands, known for its lakes, waterways, and water sports tourism.
  • B. Brussel-Zuid
    Brussel-Zuid is the main international and one of the busiest railway stations in Brussels, serving high-speed and regional trains including Eurostar and Thalys services.
  • C. Schaerbeek
    Schaerbeek is a multicultural municipality in the Brussels-Capital Region of Belgium, known for its Art Nouveau architecture and urban character.
  • D. Berchem district
    Berchem district is a suburban district of Antwerp, Belgium, known for its residential neighborhoods, Art Nouveau architecture, and important railway junction.
  • E. Kleine-Brogel
    Kleine-Brogel is a village in the municipality of Peer in the Belgian province of Limburg, known for hosting a major military air base.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52730fd4481908b3f4eb80ca209f2 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:37 p.m.