Triple

T17013894
Position Surface form Disambiguated ID Type / Status
Subject Rheden sheepfold E412767 entity
Predicate terrainContext P5378 FINISHED
Object Veluwe ridge E269342 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: Veluwe ridge | Statement: [Rheden sheepfold, terrainContext, Veluwe ridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veluwe ridge
Context triple: [Rheden sheepfold, terrainContext, Veluwe ridge]
  • A. Veluwe chosen
    Veluwe is a forested highland region in the central Netherlands known for its extensive nature reserves, heathlands, and sand drifts.
  • B. Nuweveldberge
    Nuweveldberge is a mountain range in South Africa that forms part of the Great Escarpment and is known for its rugged terrain and semi-arid Karoo landscapes.
  • C. De Vliedberg
    De Vliedberg is a residential neighborhood located within the Dutch municipality of Hellevoetsluis in South Holland.
  • D. Vaalserberg
    Vaalserberg is a hill in the southeastern Netherlands known as the country's highest point and the location of the tripoint where the borders of the Netherlands, Germany, and Belgium meet.
  • E. Wilgeheuwel
    Wilgeheuwel is a residential suburb in the Roodepoort area of Johannesburg, South Africa, known for its modern housing developments and proximity to major urban amenities.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47e64f081908f43870c7564d0ae completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148222034819089474594ee351b05 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:33 a.m.