Triple

T133394
Position Surface form Disambiguated ID Type / Status
Subject Baltic Sea E2697 entity
Predicate hasIsland P970 FINISHED
Object Rügen
Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
E23809 NE FINISHED

How this triple was built (4 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: Rügen | Statement: [Baltic Sea, hasIsland, Rügen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rügen
Context triple: [Baltic Sea, hasIsland, Rügen]
  • A. Bornholm
    Bornholm is a Danish island known for its rocky coastline, medieval ruins, and picturesque fishing villages in the Baltic Sea.
  • B. Gotland
    Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
  • C. Öland
    Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
  • D. Halve Maen
    Halve Maen was a Dutch East India Company ship best known for carrying English explorer Henry Hudson on his 1609 voyage that led to the European exploration of the river now called the Hudson River.
  • E. Pomerania
    Pomerania is a historical region on the southern coast of the Baltic Sea, now split between Poland and Germany, known for its strategic maritime location and distinct cultural heritage.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rügen
Triple: [Baltic Sea, hasIsland, Rügen]
Generated description
Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rügen
Target entity description: Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
  • A. Bornholm
    Bornholm is a Danish island known for its rocky coastline, medieval ruins, and picturesque fishing villages in the Baltic Sea.
  • B. Gotland
    Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
  • C. Öland
    Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
  • D. Halve Maen
    Halve Maen was a Dutch East India Company ship best known for carrying English explorer Henry Hudson on his 1609 voyage that led to the European exploration of the river now called the Hudson River.
  • E. Pomerania
    Pomerania is a historical region on the southern coast of the Baltic Sea, now split between Poland and Germany, known for its strategic maritime location and distinct cultural heritage.
  • F. None of above. chosen

Provenance (5 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25788b2688190a45b39447f702551 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30282051c81909845b23c651cc999 completed Feb. 28, 2026, 2:58 p.m.
NEDg Description generation batch_69a3047bf9588190a147cea4f7b74f46 completed Feb. 28, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69a304fdf7888190b0e14ca4eeffe397 completed Feb. 28, 2026, 3:08 p.m.
Created at: Feb. 28, 2026, 2:30 a.m.