Triple

T23069301
Position Surface form Disambiguated ID Type / Status
Subject Beitstad E575146 entity
Predicate hasSettlement P1068 FINISHED
Object Veldemelen 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: Veldemelen | Statement: [Beitstad, hasSettlement, Veldemelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veldemelen
Context triple: [Beitstad, hasSettlement, Veldemelen]
  • A. Veldemelen chosen
    Veldemelen is a village in Norway that serves as the administrative centre of the former municipality of Beitstad.
  • B. Zandkreek
    Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
  • C. Rijkevorsel
    Rijkevorsel is a municipality in the Antwerp province of Belgium, located in the historic Kempen (Campine) region.
  • D. Bemmelerwaard
    Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
  • E. Oostzanerveld
    Oostzanerveld is a Dutch peat meadow and wetland nature reserve known for its open landscapes, waterways, and rich birdlife near Landsmeer in North Holland.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a676c08190863c034663406018 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.