Triple

T23020550
Position Surface form Disambiguated ID Type / Status
Subject Edam-Volendam E573150 entity
Predicate containsSettlement P847 FINISHED
Object Kwadijk 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: Kwadijk | Statement: [Edam-Volendam, containsSettlement, Kwadijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwadijk
Context triple: [Edam-Volendam, containsSettlement, Kwadijk]
  • A. Kwadijk chosen
    Kwadijk is a small village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
  • B. Zwanenburg
    Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
  • C. Kneuterdijk
    Kneuterdijk is a historic street in the center of The Hague, Netherlands, known for its prominent governmental and royal buildings.
  • D. Korendijk
    Korendijk was a former municipality in the Dutch province of South Holland that later became part of the larger municipality of Hoeksche Waard.
  • E. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e8324c81908b8868d298af66e1 completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.