Triple

T21336863
Position Surface form Disambiguated ID Type / Status
Subject IJburg E526071 entity
Predicate hasPart P35 FINISHED
Object Rieteiland-West 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: Rieteiland-West | Statement: [IJburg, hasPart, Rieteiland-West]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rieteiland-West
Context triple: [IJburg, hasPart, Rieteiland-West]
  • A. Rietlanden chosen
    Rietlanden is a waterfront area in Amsterdam’s Eastern Docklands, known for its former industrial port functions and subsequent urban redevelopment.
  • B. Lietzenburg
    Lietzenburg was the original name of what is now Charlottenburg Palace, a major Baroque royal residence in Berlin associated with the Prussian monarchy.
  • C. Zoutelande
    Zoutelande is a coastal village and popular seaside resort in the Dutch province of Zeeland, known for its beaches and dunes along the North Sea.
  • D. South African Republic
    The South African Republic, also known as the Transvaal Republic, was an independent Boer-ruled state in southern Africa during the 19th century that later became part of modern South Africa.
  • E. Tiszanána
    Tiszanána is a village in northern Hungary known for its proximity to the Tisza River and recreational areas around Lake Tisza.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d9413c8190a43a6b0c67d5fc5f completed April 22, 2026, 9:46 a.m.
Created at: April 16, 2026, 4:43 p.m.