Triple

T23051794
Position Surface form Disambiguated ID Type / Status
Subject Herbert Kroemer E574037 entity
Predicate placeOfBirth P1 FINISHED
Object Weimar, Germany 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: Weimar, Germany | Statement: [Herbert Kroemer, placeOfBirth, Weimar, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weimar, Germany
Context triple: [Herbert Kroemer, placeOfBirth, Weimar, Germany]
  • A. Weimar, Thuringia, Germany
    Weimar, Thuringia, Germany is a historic city renowned as a center of German literature, culture, and early 20th-century political history, associated with figures like Goethe and Schiller and the Weimar Republic.
  • B. Weimar chosen
    Weimar is a historic German city renowned as a center of culture and the arts, associated with figures like Goethe and Schiller and pivotal movements in modern design and architecture.
  • C. Waldorf, Germany
    Waldorf, Germany is a small town in the Rhineland-Palatinate region best known as the ancestral home of the prominent American Astor family.
  • D. Frankfort, Germany
    Frankfort, Germany is a German city whose name has been used for places abroad, including the village of Frankfort in Illinois, USA.
  • E. Hesse, Germany
    Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867d010c8190bc5dba6758d0b797 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.