Triple

T6583352
Position Surface form Disambiguated ID Type / Status
Subject Seelter Buund E157356 entity
Predicate locatedIn P40 FINISHED
Object Saterland E157352 NE FINISHED

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: Saterland | Statement: [Seelter Buund, locatedIn, Saterland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saterland
Context triple: [Seelter Buund, locatedIn, Saterland]
  • A. Saterland chosen
    Saterland is a small municipality in Lower Saxony, Germany, known as the last stronghold of the Saterland Frisian language and culture.
  • 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. Romney Marsh
    Romney Marsh is a low-lying coastal wetland area in Kent and East Sussex, England, known for its sheep farming, drainage ditches, and historic smuggling associations.
  • E. Withernsea
    Withernsea is a small seaside resort town on the North Sea coast of England, known for its sandy beach, promenade, and historic lighthouse.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae938184819088234aad9cc997e1 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f78896b48190a8d993c207d01a7e completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:54 p.m.