Triple

T21785274
Position Surface form Disambiguated ID Type / Status
Subject Voeren E537818 entity
Predicate hasOfficialName P66 FINISHED
Object Voeren NE NERFINISHED

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: Voeren | Statement: [Voeren, hasOfficialName, Voeren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voeren
Context triple: [Voeren, hasOfficialName, Voeren]
  • A. Voeren chosen
    Voeren is a small, Dutch-speaking municipality in the easternmost part of Belgium, known for its rural landscape and linguistic and cultural border position between Flanders, Wallonia, and the Netherlands.
  • B. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • C. Terneuzen
    Terneuzen is a port city and municipality in the southwestern Netherlands, known for its location on the Western Scheldt and its role in shipping access to the port of Ghent.
  • D. Heessen
    Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
  • E. Volendam
    Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.