Triple

T2666652
Position Surface form Disambiguated ID Type / Status
Subject Westerkwartier E55651 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Zuidhorn E652403 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: Zuidhorn | Statement: [Westerkwartier, hasAdministrativeCenter, Zuidhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuidhorn
Context triple: [Westerkwartier, hasAdministrativeCenter, Zuidhorn]
  • A. Zuidhorn chosen
    Zuidhorn is a village and former municipality in the province of Groningen in the northern Netherlands, known for its rural character and proximity to the city of Groningen.
  • B. Sneek
    Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
  • C. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • D. Nieuwendam
    Nieuwendam is a historic neighborhood in the northern part of Amsterdam, known for its former village character and waterfront location along the IJ.
  • E. Delfzijl
    Delfzijl is a port town in the northeast of the Netherlands, known for its maritime industry and location on the Ems estuary near the German border.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd97040e48190b0a87489f108810e completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69c7e4e76cf881909e45c3652a372a70 completed March 28, 2026, 2:25 p.m.
Created at: March 6, 2026, 9:54 p.m.