Triple

T16065293
Position Surface form Disambiguated ID Type / Status
Subject Dutch Limburg E389715 entity
Predicate highestPoint P210 FINISHED
Object Vaalserberg E124686 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: Vaalserberg | Statement: [Dutch Limburg, highestPoint, Vaalserberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaalserberg
Context triple: [Dutch Limburg, highestPoint, Vaalserberg]
  • A. Vaalserberg chosen
    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.
  • B. Mount Van Hoevenberg
    Mount Van Hoevenberg is a mountain in New York’s Adirondack region best known for its winter sports facilities and role in hosting events for the 1932 and 1980 Winter Olympics.
  • C. 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.
  • D. De Vliedberg
    De Vliedberg is a residential neighborhood located within the Dutch municipality of Hellevoetsluis in South Holland.
  • E. Großer Belchen
    Großer Belchen is the highest peak in the Vosges Mountains of northeastern France, known for its panoramic views and significance as a prominent regional landmark.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837bec688190a77ad347600b6bdc completed April 17, 2026, 12:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb8cca308190875432a5cf5f8616 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:57 a.m.