Triple

T22331921
Position Surface form Disambiguated ID Type / Status
Subject Fering E552043 entity
Predicate spokenIn P2266 FINISHED
Object Föhr 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: Föhr | Statement: [Fering, spokenIn, Föhr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Föhr
Context triple: [Fering, spokenIn, Föhr]
  • A. Föhr chosen
    Föhr is a North Frisian island off the coast of Schleswig-Holstein in northern Germany, known for its mild climate, sandy beaches, and traditional Frisian culture.
  • B. Borkum
    Borkum is a German North Sea island known for its seaside resorts, sandy beaches, and role as the westernmost of the East Frisian Islands.
  • C. Norderney
    Norderney is a popular German North Sea island known for its sandy beaches, seaside resort town, and role as a major tourist destination in Lower Saxony.
  • D. Pellworm
    Pellworm is a low-lying, dike-protected island in the North Sea off the coast of northern Germany, known for its tranquil rural landscape, birdlife, and reliance on renewable energy.
  • E. Wangerooge
    Wangerooge is a small German North Sea island known for its sandy beaches, tourism, and car-free environment as part of the East Frisian Islands.
  • 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.