Triple

T18096820
Position Surface form Disambiguated ID Type / Status
Subject Brother Joseph Zoettl E433110 entity
Predicate placeOfBirth P1 FINISHED
Object Landshut, Bavaria, Germany NE NERFINISHED

How this triple was built (3 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: Landshut, Bavaria, Germany | Statement: [Brother Joseph Zoettl, placeOfBirth, Landshut, Bavaria, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landshut, Bavaria, Germany
Context triple: [Brother Joseph Zoettl, placeOfBirth, Landshut, Bavaria, Germany]
  • A. 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.
  • B. Schwarzenau, Germany
    Schwarzenau, Germany is a village in the state of North Rhine-Westphalia best known as the early 18th-century birthplace of the Schwarzenau Brethren, a radical Pietist movement that gave rise to the Church of the Brethren.
  • C. Landsberg am Lech, Germany
    Landsberg am Lech is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and picturesque location along the Lech River.
  • D. Würzburg, Germany
    Würzburg, Germany is a historic city in northern Bavaria known for its baroque and rococo architecture, prominent university, and renowned Franconian wine culture.
  • E. Fürth, Bavaria, Germany
    Fürth is a historic city in the German state of Bavaria, now part of the Nuremberg metropolitan area and known for its rich cultural heritage and Jewish history.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Landshut, Bavaria, Germany
Target entity description: Landshut is a historic city in the German state of Bavaria, known for its well-preserved medieval architecture and the annual Landshut Wedding festival.
  • A. 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.
  • B. Schwarzenau, Germany
    Schwarzenau, Germany is a village in the state of North Rhine-Westphalia best known as the early 18th-century birthplace of the Schwarzenau Brethren, a radical Pietist movement that gave rise to the Church of the Brethren.
  • C. Landsberg am Lech, Germany
    Landsberg am Lech is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and picturesque location along the Lech River.
  • D. Würzburg, Germany
    Würzburg, Germany is a historic city in northern Bavaria known for its baroque and rococo architecture, prominent university, and renowned Franconian wine culture.
  • E. Fürth, Bavaria, Germany
    Fürth is a historic city in the German state of Bavaria, now part of the Nuremberg metropolitan area and known for its rich cultural heritage and Jewish history.
  • F. None of above. chosen

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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1de6f48190a3fefd02a4b2ab58 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.