Triple

T7776910
Position Surface form Disambiguated ID Type / Status
Subject Christlieger E221416 entity
Predicate hasAlternativeName P39 FINISHED
Object St. Johannisinsel E693084 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: St. Johannisinsel | Statement: [Christlieger, hasAlternativeName, St. Johannisinsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Johannisinsel
Context triple: [Christlieger, hasAlternativeName, St. Johannisinsel]
  • A. Johannisinsel chosen
    Johannisinsel is a small island in the Königssee lake in Bavaria, Germany, known for its historic statue of Saint John of Nepomuk.
  • B. 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.
  • 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. Lindau Island
    Lindau Island is a historic island on Lake Constance in southern Germany, known for its medieval old town, harbor with lighthouse and Bavarian lion statue, and picturesque lakeside setting.
  • E. Schnäggeninseli
    Schnäggeninseli is a small, picturesque island in Switzerland’s Lake Brienz, known for its natural beauty and tranquil setting.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d22ee081908081b5f5ecdb4d39 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb136bafb88190a6f980622317df76 completed March 31, 2026, 12:20 a.m.
Created at: March 30, 2026, 4:12 p.m.