Triple

T6095004
Position Surface form Disambiguated ID Type / Status
Subject Helvoirt E135854 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Haaren E567968 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: Haaren | Statement: [Helvoirt, hasNearbySettlement, Haaren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haaren
Context triple: [Helvoirt, hasNearbySettlement, Haaren]
  • A. Haaren chosen
    Haaren is a village and former municipality in the Dutch province of North Brabant.
  • B. Hareid
    Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
  • C. Hassel
    Hassel is a Norwegian surname most notably borne by Nobel Prize–winning chemist Odd Hassel.
  • D. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • E. Hakstol
    Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a963bac8190bc0c33fef187875c completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14158c4fc81908a42e431423284d2 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:12 p.m.