Triple

T21132088
Position Surface form Disambiguated ID Type / Status
Subject Uden E520711 entity
Predicate locatedNear P294 FINISHED
Object Veghel 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: Veghel | Statement: [Uden, locatedNear, Veghel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veghel
Context triple: [Uden, locatedNear, Veghel]
  • A. Veghel chosen
    Veghel is a town in the southern Netherlands known as an industrial and logistics hub within the province of North Brabant.
  • B. Venray
    Venray is a town and municipality in the Dutch province of Limburg, known for its historic center and role in World War II.
  • C. Yerseke
    Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
  • D. Lobith
    Lobith is a village in the Dutch province of Gelderland, near the German border, historically known as a Rhine border and customs point.
  • E. Zundert
    Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723574b1481909fe9bebc83f1f3ce completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:56 p.m.