Triple

T8730322
Position Surface form Disambiguated ID Type / Status
Subject Chiemgau region E207237 entity
Predicate hasAttraction P105 FINISHED
Object Chiemsee islands E753842 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: Chiemsee islands | Statement: [Chiemgau region, hasAttraction, Chiemsee islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiemsee islands
Context triple: [Chiemgau region, hasAttraction, Chiemsee islands]
  • A. Chiemsee islands chosen
    The Chiemsee islands are a group of islands in Bavaria’s Chiemsee lake, known for their scenic landscapes, historic monasteries, and royal palace.
  • B. Schweriner Ufer islands
    The Schweriner Ufer islands are a small group of river islands located near Baumwerder in the Havel area of Berlin, Germany.
  • C. Roseninsel
    Roseninsel is a small, historically significant island in Lake Starnberg in Bavaria, Germany, known for its rose gardens and former royal retreat.
  • D. Isar River island
    Isar River island is a small island in the Isar River in Munich, Germany, known for hosting major cultural and scientific institutions and providing riverside recreational space.
  • E. Sasseninsel
    Sasseninsel is a small island located in the Eibsee, a picturesque alpine lake near the Zugspitze in Bavaria, Germany.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d26d280819085e15d4917c2b9a5 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42b0f5808190863a1ca3c4e9c8d1 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:37 p.m.