Triple

T10013953
Position Surface form Disambiguated ID Type / Status
Subject North Frisian Islands E199440 entity
Predicate hasIsland P970 FINISHED
Object Föhr E662958 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: Föhr | Statement: [North Frisian Islands, hasIsland, Föhr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Föhr
Context triple: [North Frisian Islands, hasIsland, 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. 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.
  • E. Terschelling
    Terschelling is a Dutch Wadden Sea island known for its sandy beaches, dunes, and nature reserves, popular as a holiday destination and part of the UNESCO-listed Wadden Sea region.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd3e35508190920468be167cb708 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a0bab488190ac227259232d004a completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:52 p.m.