Triple

T9146313
Position Surface form Disambiguated ID Type / Status
Subject Lake Starnberg E219462 entity
Predicate hasIsland P970 FINISHED
Object Roseninsel E231627 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: Roseninsel | Statement: [Lake Starnberg, hasIsland, Roseninsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roseninsel
Context triple: [Lake Starnberg, hasIsland, Roseninsel]
  • A. Roseninsel chosen
    Roseninsel is a small, historically significant island in Lake Starnberg in Bavaria, Germany, known for its rose gardens and former royal retreat.
  • B. Rote Insel
    Rote Insel is a distinctive, historically working-class neighborhood in Berlin known for its island-like layout encircled by railway lines and its rich social and cultural history.
  • C. Sasseninsel
    Sasseninsel is a small island located in the Eibsee, a picturesque alpine lake near the Zugspitze in Bavaria, Germany.
  • 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. Johannisinsel
    Johannisinsel is a small island in the Königssee lake in Bavaria, Germany, known for its historic statue of Saint John of Nepomuk.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca917914c8190b97ca9169bbd1e5e completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b75186c8190849f86b7e26093f1 completed April 4, 2026, 5:02 a.m.
Created at: March 30, 2026, 7:20 p.m.