Triple

T6869634
Position Surface form Disambiguated ID Type / Status
Subject Pomeranian Bay E158506 entity
Predicate hasResortArea P10436 FINISHED
Object Usedom seaside resorts E55410 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: Usedom seaside resorts | Statement: [Pomeranian Bay, hasResortArea, Usedom seaside resorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Usedom seaside resorts
Context triple: [Pomeranian Bay, hasResortArea, Usedom seaside resorts]
  • A. Island of Usedom chosen
    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.
  • B. Usedom Island Nature Park
    Usedom Island Nature Park is a protected natural area on the Baltic Sea island of Usedom, known for its coastal landscapes, lagoons, and diverse birdlife.
  • C. Warnemünde
    Warnemünde is a seaside district and popular Baltic Sea resort of the German city of Rostock, known for its wide sandy beaches and maritime atmosphere.
  • D. St. Peter-Ording
    St. Peter-Ording is a popular seaside resort town on Germany’s North Sea coast, known for its expansive sandy beaches, stilt houses, and spa tourism.
  • E. Maienwerder
    Maienwerder is a small island located in the Tegeler See lake in Berlin, Germany, known for its natural setting and limited accessibility.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a916a88190b81551731dff2898 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742a114008190be431f1e10d94501 completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.