Triple

T349557
Position Surface form Disambiguated ID Type / Status
Subject Gerd von Rundstedt E7411 entity
Predicate birthPlace P1 FINISHED
Object Aschersleben
Aschersleben is a historic town in the German state of Saxony-Anhalt, known as one of the oldest documented cities in central Germany.
 E116349 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: Aschersleben | Statement: [Gerd von Rundstedt, birthPlace, Aschersleben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aschersleben
Context triple: [Gerd von Rundstedt, birthPlace, Aschersleben]
  • A. Dessau
    Dessau is a German city best known for its association with the Bauhaus movement and its iconic modernist architecture.
  • B. Anhalt-Zerbst
    Anhalt-Zerbst was a small principality within the Holy Roman Empire, historically notable as the homeland of Catherine the Great and a source of German auxiliary troops in the 18th century.
  • C. Zwickau
    Zwickau is a city in the German state of Saxony known historically as an important center of the automotive industry and as the birthplace of composer Robert Schumann.
  • D. Ronsdorf
    Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
  • E. Chemnitz
    Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
  • 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: Aschersleben
Triple: [Gerd von Rundstedt, birthPlace, Aschersleben]
Generated description
Aschersleben is a historic town in the German state of Saxony-Anhalt, known as one of the oldest documented cities in central Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aschersleben
Target entity description: Aschersleben is a historic town in the German state of Saxony-Anhalt, known as one of the oldest documented cities in central Germany.
  • A. Dessau
    Dessau is a German city best known for its association with the Bauhaus movement and its iconic modernist architecture.
  • B. Anhalt-Zerbst
    Anhalt-Zerbst was a small principality within the Holy Roman Empire, historically notable as the homeland of Catherine the Great and a source of German auxiliary troops in the 18th century.
  • C. Zwickau
    Zwickau is a city in the German state of Saxony known historically as an important center of the automotive industry and as the birthplace of composer Robert Schumann.
  • D. Ronsdorf
    Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
  • E. Chemnitz
    Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb1dc5f88190b54d084c6def7fc5 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cc7fc6c8190ac5da1e473396932 completed March 7, 2026, 12:40 p.m.
NEDg Description generation batch_69ac1d3b36c08190852dc68a1dc282f2 completed March 7, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac1ded444c81909a7b9f9e3869bd38 completed March 7, 2026, 12:45 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.