Triple

T21285023
Position Surface form Disambiguated ID Type / Status
Subject Alblasserwaard E524632 entity
Predicate contains P35 FINISHED
Object Wijngaarden 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: Wijngaarden | Statement: [Alblasserwaard, contains, Wijngaarden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wijngaarden
Context triple: [Alblasserwaard, contains, Wijngaarden]
  • A. Wijngaarden chosen
    Wijngaarden is a small village in the Dutch province of South Holland, known for its rural character and location within the municipality of Molenlanden.
  • B. Druivenstreek
    Druivenstreek is a grape-growing region in Flemish Brabant, Belgium, renowned for its greenhouse viticulture and wine production.
  • C. Houwaart vineyards
    Houwaart vineyards are a notable wine-growing area in the Flemish Brabant region of Belgium, recognized for their scenic hillsides and local wine production.
  • D. Enkeldoorn
    Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
  • E. Galmaarden
    Galmaarden is a small Dutch-speaking municipality in the Flemish Brabant province of Belgium, known for its rural character and location near the language border.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d658e08190ad2f267123d53ede completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.