Triple

T2292650
Position Surface form Disambiguated ID Type / Status
Subject J. C. Leyendecker E51539 entity
Predicate placeOfBirth P1 FINISHED
Object Montabaur
Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
 E254445 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: Montabaur | Statement: [J. C. Leyendecker, placeOfBirth, Montabaur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montabaur
Context triple: [J. C. Leyendecker, placeOfBirth, Montabaur]
  • A. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • B. Ahaus
    Ahaus is a town in the district of Borken in North Rhine-Westphalia, western Germany, known for its historic castle and role as a regional administrative and cultural center.
  • C. Wülfrath
    Wülfrath is a small town in North Rhine-Westphalia, western Germany, known historically for its limestone quarrying and rural character.
  • D. Bermaringen
    Bermaringen is a village and district within the municipality of Blaustein in the Alb-Donau region of Baden-Württemberg, Germany.
  • E. Rolandseck
    Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
  • 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: Montabaur
Triple: [J. C. Leyendecker, placeOfBirth, Montabaur]
Generated description
Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montabaur
Target entity description: Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
  • A. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • B. Ahaus
    Ahaus is a town in the district of Borken in North Rhine-Westphalia, western Germany, known for its historic castle and role as a regional administrative and cultural center.
  • C. Wülfrath
    Wülfrath is a small town in North Rhine-Westphalia, western Germany, known historically for its limestone quarrying and rural character.
  • D. Bermaringen
    Bermaringen is a village and district within the municipality of Blaustein in the Alb-Donau region of Baden-Württemberg, Germany.
  • E. Rolandseck
    Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b50df481908a3d8f71d245e8fa completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f23ca34819091d2bb0d41613b4a completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae82aa6d7c81909cb770ea2be10b2a completed March 9, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae837e392c8190baa7552ce8c14995 completed March 9, 2026, 8:23 a.m.
Created at: March 4, 2026, 7:48 p.m.