Triple

T657494
Position Surface form Disambiguated ID Type / Status
Subject Lichtenfels E11679 entity
Predicate hasSubdivision P747 FINISHED
Object Degendorf
Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
 E194229 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: Degendorf | Statement: [Lichtenfels, hasSubdivision, Degendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Degendorf
Context triple: [Lichtenfels, hasSubdivision, Degendorf]
  • A. Dessau
    Dessau is a German city best known for its association with the Bauhaus movement and its iconic modernist architecture.
  • B. 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.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Aschersleben
    Aschersleben is a historic town in the German state of Saxony-Anhalt, known as one of the oldest documented cities in central Germany.
  • E. Schönhausen
    Schönhausen is a village in Saxony-Anhalt, Germany, best known as the birthplace of 19th-century statesman Otto von Bismarck.
  • 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: Degendorf
Triple: [Lichtenfels, hasSubdivision, Degendorf]
Generated description
Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Degendorf
Target entity description: Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
  • A. Dessau
    Dessau is a German city best known for its association with the Bauhaus movement and its iconic modernist architecture.
  • B. 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.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Aschersleben
    Aschersleben is a historic town in the German state of Saxony-Anhalt, known as one of the oldest documented cities in central Germany.
  • E. Schönhausen
    Schönhausen is a village in Saxony-Anhalt, Germany, best known as the birthplace of 19th-century statesman Otto von Bismarck.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a8f35d48190a18cf924bf5f9e45 completed March 8, 2026, 2:41 p.m.
NEDg Description generation batch_69ad95738df081909e56178cc1e0ab74 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97a1a44c8190a9d8fe05837ec9ff completed March 8, 2026, 3:37 p.m.
Created at: March 1, 2026, 7:36 p.m.