Triple

T18997116
Position Surface form Disambiguated ID Type / Status
Subject Zandkreek E464846 entity
Predicate locatedBetween P1262 FINISHED
Object Noord-Beveland 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: Noord-Beveland | Statement: [Zandkreek, locatedBetween, Noord-Beveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noord-Beveland
Context triple: [Zandkreek, locatedBetween, Noord-Beveland]
  • A. Noord-Beveland chosen
    Noord-Beveland is a sparsely populated island municipality in the Dutch province of Zeeland, known for its coastal landscapes, agriculture, and water-based recreation.
  • B. Zuid-Beveland
    Zuid-Beveland is a peninsula and region in the southwest of the Netherlands known for its reclaimed polders, dike landscapes, and agricultural villages.
  • C. Breckland district
    Breckland district is a largely rural local government district in Norfolk, England, known for its heathland landscapes and market towns such as Thetford and Dereham.
  • D. Saterland
    Saterland is a small municipality in Lower Saxony, Germany, known as the last stronghold of the Saterland Frisian language and culture.
  • E. Dithmarschen
    Dithmarschen is a rural district in the German state of Schleswig-Holstein, known for its North Sea coastline, marshland landscapes, and agricultural heritage.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6826464819080ff0e0ffa5cc25e completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.