Triple

T19266875
Position Surface form Disambiguated ID Type / Status
Subject Gregor Strasser E481806 entity
Predicate placeOfBirth P1 FINISHED
Object Geisenfeld 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: Geisenfeld | Statement: [Gregor Strasser, placeOfBirth, Geisenfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geisenfeld
Context triple: [Gregor Strasser, placeOfBirth, Geisenfeld]
  • A. Geisenfeld chosen
    Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
  • B. Ochsenfeld
    Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
  • C. Meisenthal
    Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
  • D. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • E. Dornstadt
    Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.