Triple

T1876334
Position Surface form Disambiguated ID Type / Status
Subject Kaag en Braassem E39152 entity
Predicate hasSettlement P1068 FINISHED
Object Roelofarendsveen E227602 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: Roelofarendsveen | Statement: [Kaag en Braassem, hasSettlement, Roelofarendsveen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roelofarendsveen
Context triple: [Kaag en Braassem, hasSettlement, Roelofarendsveen]
  • A. Roelofarendsveen chosen
    Roelofarendsveen is a town in the Dutch province of South Holland that serves as the administrative center of the municipality of Kaag en Braassem.
  • B. Giethoorn
    Giethoorn is a picturesque Dutch village famous for its canals, thatched-roof farmhouses, and boat-only waterways, often called the "Venice of the Netherlands."
  • C. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • D. Rozenburg (Haarlemmermeer)
    Rozenburg (Haarlemmermeer) is a village in the Dutch municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • E. Westeinderplassen
    Westeinderplassen is a large lake and recreational water area in the Dutch province of North Holland, known for boating, water sports, and horticulture.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d902ac8190a2d9bb6f683986e4 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae516ffd088190ae2c730e1caff8f6 completed March 9, 2026, 4:49 a.m.
Created at: March 4, 2026, 7:34 p.m.