Triple

T4510312
Position Surface form Disambiguated ID Type / Status
Subject Zwickau E102035 entity
Predicate hasSubdivision P747 FINISHED
Object Marienthal
Marienthal is a district of the German city of Zwickau, known primarily as a residential area with local amenities and green spaces.
 E448455 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: Marienthal | Statement: [Zwickau, hasSubdivision, Marienthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marienthal
Context triple: [Zwickau, hasSubdivision, Marienthal]
  • A. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • B. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • C. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • D. Nattheim
    Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
  • E. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • 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: Marienthal
Triple: [Zwickau, hasSubdivision, Marienthal]
Generated description
Marienthal is a district of the German city of Zwickau, known primarily as a residential area with local amenities and green spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marienthal
Target entity description: Marienthal is a district of the German city of Zwickau, known primarily as a residential area with local amenities and green spaces.
  • A. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • B. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • C. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • D. Nattheim
    Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
  • E. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5712b9308190876c117b50d12635 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f814dd081908b07ce0c2abee3c1 completed March 20, 2026, 5:10 p.m.
NEDg Description generation batch_69bd84bae7148190ae201ea5257dd43e completed March 20, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69bd857181e4819086b7d0b493fbb9a3 completed March 20, 2026, 5:35 p.m.
Created at: March 20, 2026, 1:01 p.m.