Triple

T14577686
Position Surface form Disambiguated ID Type / Status
Subject Gottfried Heinrich Bach E342097 entity
Predicate residence P75 FINISHED
Object Naumburg (Saale) E191238 NE FINISHED

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: Naumburg (Saale) | Statement: [Gottfried Heinrich Bach, residence, Naumburg (Saale)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naumburg (Saale)
Context triple: [Gottfried Heinrich Bach, residence, Naumburg (Saale)]
  • A. Naumburg (Saale) chosen
    Naumburg (Saale) is a historic town in the German state of Saxony-Anhalt, renowned for its medieval cathedral and well-preserved old town.
  • B. Nienburg (Saale)
    Nienburg (Saale) is a small town in the Saxony-Anhalt region of Germany, known for its location at the confluence of the Saale and Bode rivers and its historic medieval architecture.
  • C. Naumburg
    Naumburg is a historic town in the German state of Saxony-Anhalt, known for its medieval cathedral and as the childhood home of philosopher Friedrich Nietzsche.
  • D. Nauen
    Nauen is a historic town in the Havelland district of Brandenburg, Germany, known for its early radio transmission station and agricultural surroundings.
  • E. Wülknitz
    Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b832b08190965b727baa700403 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.