Triple

T6820261
Position Surface form Disambiguated ID Type / Status
Subject Maximilian IV Joseph of Bavaria E156879 entity
Predicate birthPlace P1 FINISHED
Object Schwetzingen
Schwetzingen is a town in southwestern Germany renowned for its Baroque palace and extensive formal gardens.
E622627 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: Schwetzingen | Statement: [Maximilian IV Joseph of Bavaria, birthPlace, Schwetzingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwetzingen
Context triple: [Maximilian IV Joseph of Bavaria, birthPlace, Schwetzingen]
  • A. Bad Kissingen
    Bad Kissingen is a historic spa town in northern Bavaria, Germany, renowned for its mineral springs and 19th-century wellness resorts.
  • B. Schwangau
    Schwangau is a Bavarian village in southern Germany best known as the home of the fairy-tale Neuschwanstein Castle and other nearby royal palaces amid the Alpine foothills.
  • C. Schongau
    Schongau is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and location along the Romantic Road.
  • D. Wilhelmsruh
    Wilhelmsruh is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and historical ties to Berlin’s former border zone.
  • E. Kitzingen
    Kitzingen is a historic town in northern Bavaria, Germany, known for its wine production and location along the Main River.
  • 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: Schwetzingen
Triple: [Maximilian IV Joseph of Bavaria, birthPlace, Schwetzingen]
Generated description
Schwetzingen is a town in southwestern Germany renowned for its Baroque palace and extensive formal gardens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schwetzingen
Target entity description: Schwetzingen is a town in southwestern Germany renowned for its Baroque palace and extensive formal gardens.
  • A. Bad Kissingen
    Bad Kissingen is a historic spa town in northern Bavaria, Germany, renowned for its mineral springs and 19th-century wellness resorts.
  • B. Schwangau
    Schwangau is a Bavarian village in southern Germany best known as the home of the fairy-tale Neuschwanstein Castle and other nearby royal palaces amid the Alpine foothills.
  • C. Schongau
    Schongau is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and location along the Romantic Road.
  • D. Wilhelmsruh
    Wilhelmsruh is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and historical ties to Berlin’s former border zone.
  • E. Kitzingen
    Kitzingen is a historic town in northern Bavaria, Germany, known for its wine production and location along the Main River.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d359176c8190a34664ba2fcf7ee2 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e797908190bb0a2d22556b5906 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724e915dc8190a82b69939f78420d completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c728ddadd881909c2faa435031a635 completed March 28, 2026, 1:03 a.m.
Created at: March 27, 2026, 2:17 p.m.