Triple

T4292711
Position Surface form Disambiguated ID Type / Status
Subject Kurt Student E99632 entity
Predicate placeOfDeath P21 FINISHED
Object Lemgo, West Germany E357782 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: Lemgo, West Germany | Statement: [Kurt Student, placeOfDeath, Lemgo, West Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lemgo, West Germany
Context triple: [Kurt Student, placeOfDeath, Lemgo, West Germany]
  • A. Lemgo chosen
    Lemgo is a historic town in the Lippe district of North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and Hanseatic heritage.
  • B. Schröttinghausen, Germany
    Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
  • C. Hamm, Germany
    Hamm is a city in the German state of North Rhine-Westphalia, known as an industrial and transportation hub in the eastern Ruhr area.
  • D. Lünen, Germany
    Lünen is a mid-sized industrial and residential city in North Rhine-Westphalia, western Germany, situated on the Lippe River and known for its historical coal-mining heritage.
  • E. Pfaffenweiler, Germany
    Pfaffenweiler is a small town in southwestern Germany known for its historical ties and sister-city relationship with Jasper, Indiana.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3508035a08190b752c8edce0aff86 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c739df2c8190af6f8d9bf36afca8 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.