Triple

T3351321
Position Surface form Disambiguated ID Type / Status
Subject Lansingerland E70498 entity
Predicate formedByMergerOf P77 FINISHED
Object Berkel en Rodenrijs E566739 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: Berkel en Rodenrijs | Statement: [Lansingerland, formedByMergerOf, Berkel en Rodenrijs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkel en Rodenrijs
Context triple: [Lansingerland, formedByMergerOf, Berkel en Rodenrijs]
  • A. Berkel en Rodenrijs chosen
    Berkel en Rodenrijs is a town in the Dutch province of South Holland, now part of the municipality of Lansingerland, known for its suburban character and proximity to Rotterdam.
  • B. Roosendaal
    Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
  • C. Rijkevoort
    Rijkevoort is a village in the Dutch province of North Brabant, known for its rural character and location near the German border.
  • D. Barendrecht
    Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
  • E. Nuenen
    Nuenen is a village in the southern Netherlands, known for its association with both the painter Vincent van Gogh and computer scientist Edsger W. Dijkstra.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb220721c81909eb4d8d35c923927 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20ce295f081909046cbc278ee6183 completed March 24, 2026, 4:02 a.m.
Created at: March 8, 2026, 3:12 p.m.