Triple

T17475257
Position Surface form Disambiguated ID Type / Status
Subject Lutz Seiler E425521 entity
Predicate writesAbout P2831 FINISHED
Object island of Hiddensee 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: island of Hiddensee | Statement: [Lutz Seiler, writesAbout, island of Hiddensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: island of Hiddensee
Context triple: [Lutz Seiler, writesAbout, island of Hiddensee]
  • A. Hiddensee chosen
    Hiddensee is a car-free German Baltic Sea island known for its unspoiled nature, sandy beaches, and role as a tranquil holiday destination west of Rügen.
  • B. Rügen
    Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
  • C. Island of Usedom
    The Island of Usedom is a Baltic Sea island shared by Germany and Poland, renowned for its long sandy beaches, seaside resorts, and status as a popular holiday destination.
  • D. Sasseninsel
    Sasseninsel is a small island located in the Eibsee, a picturesque alpine lake near the Zugspitze in Bavaria, Germany.
  • E. 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.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bb7050819080e3873bcc8a950c completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.