Triple

T1924965
Position Surface form Disambiguated ID Type / Status
Subject Philipsdam E40807 entity
Predicate locatedNear P294 FINISHED
Object Volkerak-Zoommeer E142726 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: Volkerak-Zoommeer | Statement: [Philipsdam, locatedNear, Volkerak-Zoommeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volkerak-Zoommeer
Context triple: [Philipsdam, locatedNear, Volkerak-Zoommeer]
  • A. Volkerakmeer chosen
    Volkerakmeer is a lake in the southwestern Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway and water management area.
  • B. Giethoorn
    Giethoorn is a picturesque Dutch village famous for its canals, thatched-roof farmhouses, and boat-only waterways, often called the "Venice of the Netherlands."
  • C. Krimpenerwaard
    Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
  • D. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • E. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb260da088190ac53bfc9437e112b completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69af989af058819082c35bee706d0ea0 completed March 10, 2026, 4:05 a.m.
Created at: March 4, 2026, 7:35 p.m.