Triple

T20413524
Position Surface form Disambiguated ID Type / Status
Subject Michael Stütz E500645 entity
Predicate residence P75 FINISHED
Object Königsbronn 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: Königsbronn | Statement: [Michael Stütz, residence, Königsbronn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Königsbronn
Context triple: [Michael Stütz, residence, Königsbronn]
  • A. Königsbronn chosen
    Königsbronn is a small municipality in the Ostalbkreis district of Baden-Württemberg in southern Germany, known for its scenic Swabian Jura landscape and historic ironworks.
  • B. Kressbronn am Bodensee
    Kressbronn am Bodensee is a lakeside municipality in southern Germany situated on the shores of Lake Constance in the state of Baden-Württemberg.
  • C. Königsbrunn
    Königsbrunn is a town in Bavaria, Germany, located just south of Augsburg and known as a residential and commercial suburb of the city.
  • D. Maihingen
    Maihingen is a small rural municipality in the Donau-Ries district of Bavaria in southern Germany.
  • E. Brilon
    Brilon is a historic town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its medieval center and surrounding forested landscapes.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a417f208190be9bc11650ee0a87 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:30 a.m.