Triple

T5453033
Position Surface form Disambiguated ID Type / Status
Subject municipality of Grave E122412 entity
Predicate contains P35 FINISHED
Object Velp, North Brabant E489514 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: Velp, North Brabant | Statement: [municipality of Grave, contains, Velp, North Brabant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velp, North Brabant
Context triple: [municipality of Grave, contains, Velp, North Brabant]
  • A. Velp (North Brabant) chosen
    Velp (North Brabant) is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
  • B. Velp (Gelderland)
    Velp (Gelderland) is a village in the Dutch province of Gelderland, located near the city of Arnhem and known for its residential character and proximity to the Veluwezoom National Park.
  • C. Velp
    Velp is a village in the Dutch province of Gelderland, near Arnhem, known as a gateway to the scenic Veluwezoom National Park.
  • D. Vlaardingen
    Vlaardingen is a historic port city in the western Netherlands, situated along the Nieuwe Maas river and known for its former herring fishing industry.
  • E. Waalwijk, Netherlands
    Waalwijk, Netherlands is a town in the province of North Brabant known for its historical leather and shoe industry and its location between Tilburg and the River Maas.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91e170f48190b47419b5e2ff71a4 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c63cb6481908ea46a836a3804fe completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:08 p.m.