Triple

T22048633
Position Surface form Disambiguated ID Type / Status
Subject Georg Klemperer E544826 entity
Predicate placeOfBirth P1 FINISHED
Object Landsberg an der Warthe 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: Landsberg an der Warthe | Statement: [Georg Klemperer, placeOfBirth, Landsberg an der Warthe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landsberg an der Warthe
Context triple: [Georg Klemperer, placeOfBirth, Landsberg an der Warthe]
  • A. Landsberg an der Warthe chosen
    Landsberg an der Warthe is the former German name for the city now known as Gorzów Wielkopolski in western Poland, historically an important urban center in the Neumark region of Brandenburg.
  • B. Biebrich
    Biebrich is a district of Wiesbaden in the German state of Hesse, historically known as an independent town on the Rhine and the site of the Baroque Biebrich Palace.
  • C. Odershausen
    Odershausen is a village and district of the spa town Bad Wildungen in the state of Hesse, Germany.
  • D. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • E. Gescher
    Gescher is a small town in western Germany’s Münsterland region, noted for its traditional bell foundries and rural character.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1283191e48190b4ddc84138243327 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.