Triple

T21727741
Position Surface form Disambiguated ID Type / Status
Subject Victor Klemperer E536316 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: [Victor 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: [Victor 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd03c6ec8190a2f0445c1f3a45b4 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.