Triple

T18127780
Position Surface form Disambiguated ID Type / Status
Subject Roth bei Nürnberg (Austria) E433924 entity
Predicate officialName P66 FINISHED
Object Roth bei Nürnberg (Austria) 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: Roth bei Nürnberg (Austria) | Statement: [Roth bei Nürnberg (Austria), officialName, Roth bei Nürnberg (Austria)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roth bei Nürnberg (Austria)
Context triple: [Roth bei Nürnberg (Austria), officialName, Roth bei Nürnberg (Austria)]
  • A. Roth bei Nürnberg (Austria) chosen
    Roth bei Nürnberg (Austria) is an Austrian town that is officially twinned with the German town of Roth in Bavaria.
  • B. Roth, Bavaria
    Roth, Bavaria is a small town in the German state of Bavaria, known for its historic old town and its location near Nuremberg.
  • C. Roth (Eichsfeld)
    Roth (Eichsfeld) is a small village in the Eichsfeld district of Thuringia, Germany.
  • D. Traunreut
    Traunreut is a Bavarian town in southeastern Germany known for its industrial base and proximity to the Alpine foothills and Chiemsee lake.
  • E. Rosenheim, Germany
    Rosenheim, Germany is a mid-sized Bavarian city near the Alps, known for its historic old town, regional trade and transport hub status, and picturesque setting along the Inn River.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddef4cd88190b16ef0d6ed3968c6 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.