Triple

T11417229
Position Surface form Disambiguated ID Type / Status
Subject Bruno Richard Hauptmann E270524 entity
Predicate placeOfBirth P1 FINISHED
Object Kamenz E321330 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: Kamenz | Statement: [Bruno Richard Hauptmann, placeOfBirth, Kamenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamenz
Context triple: [Bruno Richard Hauptmann, placeOfBirth, Kamenz]
  • A. Kamenz chosen
    Kamenz is a small town in eastern Germany best known as the birthplace of the Enlightenment writer and philosopher Gotthold Ephraim Lessing.
  • B. Schleiz
    Schleiz is a historic town in eastern Thuringia, Germany, known for its role as a former princely residence and for the nearby Schleizer Dreieck motor racing circuit.
  • C. Bischofswerda
    Bischofswerda is a small town in the Saxony region of eastern Germany, known as a local commercial and transport hub near the city of Dresden.
  • D. Premnitz
    Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
  • E. Neukieritzsch
    Neukieritzsch is a small municipality in the German state of Saxony, situated south of Leipzig and known historically as a local railway junction.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b0236c81908122ce3fc7b4fde7 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f416f5e0588190b432a48bbbc6c762 completed May 1, 2026, 2:59 a.m.
Created at: April 8, 2026, 9:34 p.m.