Triple

T22313760
Position Surface form Disambiguated ID Type / Status
Subject Zuid-Willemsvaart E551588 entity
Predicate crosses P416 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: [Zuid-Willemsvaart, crosses, Veghel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veghel
Context triple: [Zuid-Willemsvaart, crosses, 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15750f76c81909d6f788928f503f1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.