Triple

T5658904
Position Surface form Disambiguated ID Type / Status
Subject Vaalserberg E124686 entity
Predicate hasNameInDutch P13254 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: [Vaalserberg, hasNameInDutch, Vaalserberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaalserberg
Context triple: [Vaalserberg, hasNameInDutch, 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. Bonteheuwel
    Bonteheuwel is a residential suburb of Cape Town, South Africa, located on the Cape Flats and known for its working-class community and apartheid-era history.
  • D. 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.
  • E. Cauberg
    Cauberg is a famous short but steep hill in Valkenburg, the Netherlands, renowned as a decisive climb in professional road cycling races.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fd9b148190bd4aa9c43500949f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04da37ffc819095f33e7e66e7c1d0 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.