Triple

T8713119
Position Surface form Disambiguated ID Type / Status
Subject Eibsee E206827 entity
Predicate hasIsland P970 FINISHED
Object Braunisinsel E753801 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: Braunisinsel | Statement: [Eibsee, hasIsland, Braunisinsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braunisinsel
Context triple: [Eibsee, hasIsland, Braunisinsel]
  • A. Sasseninsel chosen
    Sasseninsel is a small island located in the Eibsee, a picturesque alpine lake near the Zugspitze in Bavaria, Germany.
  • B. Roseninsel
    Roseninsel is a small, historically significant island in Lake Starnberg in Bavaria, Germany, known for its rose gardens and former royal retreat.
  • C. Johannisinsel
    Johannisinsel is a small island in the Königssee lake in Bavaria, Germany, known for its historic statue of Saint John of Nepomuk.
  • D. Humboldt-Insel
    Humboldt-Insel is a small island in Berlin’s Spree River, known for its residential areas and proximity to the city’s central districts.
  • E. Drénec Island
    Drénec Island is one of the small islands in the Glénan archipelago off the coast of Brittany in western France, known for its scenic maritime landscapes and clear waters.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42998df88190a6eba28c2efb2030 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:35 p.m.