Triple

T22347792
Position Surface form Disambiguated ID Type / Status
Subject Aalten E552439 entity
Predicate hasSettlement P1068 FINISHED
Object Aalten (town) 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: Aalten (town) | Statement: [Aalten, hasSettlement, Aalten (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aalten (town)
Context triple: [Aalten, hasSettlement, Aalten (town)]
  • A. Aalten chosen
    Aalten is a municipality and town in the province of Gelderland in the eastern Netherlands, near the German border.
  • B. Aalten municipality
    Aalten municipality is a local government area in the Dutch province of Gelderland, known for its rural character and historic towns near the German border.
  • C. Aalter
    Aalter is a municipality in the Belgian province of East Flanders, known for its rural character and location between Ghent and Bruges.
  • D. Aalsmeer
    Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
  • E. Aarlanderveen
    Aarlanderveen is a village in the Dutch province of South Holland, known for its polder landscape and traditional windmills.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157995bec819080b8d05fa88704ed completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.