Triple

T15114583
Position Surface form Disambiguated ID Type / Status
Subject Württemberg-Bernstadt E361003 entity
Predicate capital P234 FINISHED
Object Bernstadt an der Weide E716707 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: Bernstadt an der Weide | Statement: [Württemberg-Bernstadt, capital, Bernstadt an der Weide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernstadt an der Weide
Context triple: [Württemberg-Bernstadt, capital, Bernstadt an der Weide]
  • A. Bernstadt an der Weide chosen
    Bernstadt an der Weide is a historic town in present-day Poland (formerly in Silesia) known as the birthplace of Prussian general Maximilian von Prittwitz.
  • B. Söhnstetten
    Söhnstetten is a village in the Heidenheim district of Baden-Württemberg, Germany, known as a part of the municipality of Steinheim am Albuch on the Swabian Jura.
  • C. Gerstetten
    Gerstetten is a municipality in the Heidenheim district of the state of Baden-Württemberg in southern Germany.
  • D. Hettstadt
    Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
  • E. Bleidenstadt
    Bleidenstadt is a district of the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany, known for its historic church and small-town character.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe2369881908c7ebbad412d9000 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:05 a.m.