Triple

T18076104
Position Surface form Disambiguated ID Type / Status
Subject Kurt Meyer E432556 entity
Predicate placeOfBirth P1 FINISHED
Object Jerxheim
Jerxheim is a small municipality in the district of Helmstedt in Lower Saxony, Germany.
E1304483 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: Jerxheim | Statement: [Kurt Meyer, placeOfBirth, Jerxheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerxheim
Context triple: [Kurt Meyer, placeOfBirth, Jerxheim]
  • A. Neheim
    Neheim is a district of the city of Arnsberg in North Rhine-Westphalia, Germany, known historically for its lighting industry and location in the Ruhr region.
  • B. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • C. Dotzheim
    Dotzheim is a residential district of Wiesbaden in the German state of Hesse, known for its mix of urban housing and green surroundings.
  • D. Ederheim
    Ederheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • E. Edigheim
    Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • 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: Jerxheim
Triple: [Kurt Meyer, placeOfBirth, Jerxheim]
Generated description
Jerxheim is a small municipality in the district of Helmstedt in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jerxheim
Target entity description: Jerxheim is a small municipality in the district of Helmstedt in Lower Saxony, Germany.
  • A. Neheim
    Neheim is a district of the city of Arnsberg in North Rhine-Westphalia, Germany, known historically for its lighting industry and location in the Ruhr region.
  • B. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • C. Dotzheim
    Dotzheim is a residential district of Wiesbaden in the German state of Hesse, known for its mix of urban housing and green surroundings.
  • D. Ederheim
    Ederheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • E. Edigheim
    Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f4f76c81909015ae4d66d1c85f completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03567944dc8190acf755c523ecd2fd completed May 12, 2026, 4:34 p.m.
NEDg Description generation batch_6a035a643c9081909daa111f5692fed8 completed May 12, 2026, 4:50 p.m.
NED2 Entity disambiguation (via description) batch_6a035ad09e18819081eed396cb445dbc completed May 12, 2026, 4:52 p.m.
Created at: April 10, 2026, 10:26 a.m.