Triple

T13467805
Position Surface form Disambiguated ID Type / Status
Subject North Beveland E311547 entity
Predicate containsSettlement P847 FINISHED
Object Wissenkerke E356655 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: Wissenkerke | Statement: [North Beveland, containsSettlement, Wissenkerke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wissenkerke
Context triple: [North Beveland, containsSettlement, Wissenkerke]
  • A. Wissenkerke chosen
    Wissenkerke is a village in the Dutch province of Zeeland, located on the island and municipality of Noord-Beveland.
  • B. Liedekerke
    Liedekerke is a municipality in the Flemish Brabant province of Belgium, situated in the Dutch-speaking region of Flanders.
  • C. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • D. Meerbeke
    Meerbeke is a village in East Flanders, Belgium, best known for having long served as the traditional finish town of the Tour of Flanders cycling race.
  • E. Wielsbeke
    Wielsbeke is a municipality in the Belgian province of West Flanders.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf101a1081909f2aba6da47baacc completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19259070819089bd3caf66e5af29 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 9:42 p.m.