Triple

T5067969
Position Surface form Disambiguated ID Type / Status
Subject Wanroij E114189 entity
Predicate locatedIn P40 FINISHED
Object Land van Cuijk E113289 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: Land van Cuijk | Statement: [Wanroij, locatedIn, Land van Cuijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Land van Cuijk
Context triple: [Wanroij, locatedIn, Land van Cuijk]
  • A. Land van Cuijk chosen
    Land van Cuijk is a municipality in the Dutch province of North Brabant, formed in 2022 through the merger of several former municipalities in the northeastern part of the province.
  • B. De Akkers
    De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
  • C. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • D. Herwijnen
    Herwijnen is a village in the Dutch province of Gelderland, known as a small rural community along the River Waal.
  • E. Krimpen aan den IJssel
    Krimpen aan den IJssel is a Dutch town and municipality situated along the Hollandse IJssel river, forming part of the Rotterdam metropolitan area.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749dd1a08190858fa739df024eb4 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28f6f5148190ac40ba3256f8264b completed March 21, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:38 p.m.