Triple

T23471030
Position Surface form Disambiguated ID Type / Status
Subject Magdalena Scholl E570126 entity
Predicate residence P75 FINISHED
Object Forchtenberg NE NERFINISHED

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: Forchtenberg | Statement: [Magdalena Scholl, residence, Forchtenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forchtenberg
Context triple: [Magdalena Scholl, residence, Forchtenberg]
  • A. Forchtenberg chosen
    Forchtenberg is a small town in the German state of Baden-Württemberg, best known as the birthplace of anti-Nazi resistance figure Sophie Scholl.
  • B. Wettenberg
    Wettenberg is a municipality in the German state of Hesse, located near the city of Gießen and known for its mix of rural character and proximity to urban centers.
  • C. Frundsberg
    Frundsberg is a German surname most famously associated with Georg von Frundsberg, a renowned 16th-century Landsknecht leader in the service of the Holy Roman Empire.
  • D. Grafenwerth
    Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
  • E. Hohenwart
    Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6ff8dc0819086961b1f07030d9c completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:55 p.m.