Triple

T767394
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Röntgen E16205 entity
Predicate placeOfBirth P1 FINISHED
Object Lennep
Lennep is a historic district of the German city of Remscheid in North Rhine-Westphalia, known as the birthplace of physicist Wilhelm Röntgen.
 E92687 NE FINISHED

How this triple was built (4 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: Lennep | Statement: [Wilhelm Röntgen, placeOfBirth, Lennep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lennep
Context triple: [Wilhelm Röntgen, placeOfBirth, Lennep]
  • A. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Ilkenau
    Ilkenau is the historical German name for the Polish town of Olkusz, located in southern Poland.
  • D. Lenthe
    Lenthe is a village in Lower Saxony, Germany, now part of the town of Gehrden near Hanover.
  • E. Neuruppin
    Neuruppin is a historic town in Brandenburg, Germany, known as the birthplace of writer Theodor Fontane and several notable Prussian and German military figures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lennep
Triple: [Wilhelm Röntgen, placeOfBirth, Lennep]
Generated description
Lennep is a historic district of the German city of Remscheid in North Rhine-Westphalia, known as the birthplace of physicist Wilhelm Röntgen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lennep
Target entity description: Lennep is a historic district of the German city of Remscheid in North Rhine-Westphalia, known as the birthplace of physicist Wilhelm Röntgen.
  • A. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Ilkenau
    Ilkenau is the historical German name for the Polish town of Olkusz, located in southern Poland.
  • D. Lenthe
    Lenthe is a village in Lower Saxony, Germany, now part of the town of Gehrden near Hanover.
  • E. Neuruppin
    Neuruppin is a historic town in Brandenburg, Germany, known as the birthplace of writer Theodor Fontane and several notable Prussian and German military figures.
  • F. None of above. chosen

Provenance (5 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6a0fee08190bf365d14c007e008 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733773588190885d03d714e21b37 completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a673e52db88190b20f133df15cba29 completed March 3, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69a674487c8c8190bff97a51587787ef completed March 3, 2026, 5:40 a.m.
Created at: March 1, 2026, 7:37 p.m.