Triple

T17645458
Position Surface form Disambiguated ID Type / Status
Subject Neder-Betuwe E429344 entity
Predicate hasCapital P204 FINISHED
Object Opheusden NE NERFINISHED

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: Opheusden | Statement: [Neder-Betuwe, hasCapital, Opheusden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opheusden
Context triple: [Neder-Betuwe, hasCapital, Opheusden]
  • A. Opheusden chosen
    Opheusden is a conservative Dutch village in Gelderland known for its strong Reformed Christian community and location within the Bible Belt of the Netherlands.
  • B. Onkerzele
    Onkerzele is a village in the Flemish municipality of Geraardsbergen in East Flanders, Belgium.
  • C. Ophasselt
    Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
  • D. Oeffag
    Oeffag was an Austro-Hungarian aircraft manufacturer best known for producing military planes, including licensed versions of the Albatros fighters, during World War I.
  • E. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e382ba88190af19d0e3b8c8cadd completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:04 a.m.