Triple

T22331917
Position Surface form Disambiguated ID Type / Status
Subject Fering E552043 entity
Predicate state P87 FINISHED
Object Schleswig-Holstein 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: Schleswig-Holstein | Statement: [Fering, state, Schleswig-Holstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schleswig-Holstein
Context triple: [Fering, state, Schleswig-Holstein]
  • A. Schleswig-Holstein chosen
    Schleswig-Holstein is Germany’s northernmost state, known for its North Sea and Baltic Sea coastlines, maritime heritage, and shared border with Denmark.
  • B. Mecklenburg-Vorpommern
    Mecklenburg-Vorpommern is a federal state in northeastern Germany known for its Baltic Sea coastline, numerous lakes, and relatively low population density.
  • C. Schleswig
    Schleswig is a historic town in northern Germany known for its Viking heritage, medieval cathedral, and location on the Schlei inlet.
  • D. Lower Saxony
    Lower Saxony is a large federal state in northwestern Germany known for its diverse landscapes, strong industrial base, and historic cities such as Hanover and Göttingen.
  • E. Nordfriesland
    Nordfriesland is a coastal district in the German state of Schleswig-Holstein, known for its North Sea islands, Wadden Sea mudflats, and distinct Frisian culture and language.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577b555c8190ac61c026ee7dfb2b completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.