Triple

T8531404
Position Surface form Disambiguated ID Type / Status
Subject Anhalt-Bitterfeld E201958 entity
Predicate containsMunicipality P852 FINISHED
Object Aken (Elbe)
Aken (Elbe) is a small German town on the Elbe River in Saxony-Anhalt, known for its historic river port and medieval town center.
 E741783 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: Aken (Elbe) | Statement: [Anhalt-Bitterfeld, containsMunicipality, Aken (Elbe)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aken (Elbe)
Context triple: [Anhalt-Bitterfeld, containsMunicipality, Aken (Elbe)]
  • A. Chemnitz River
    The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
  • B. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • C. Rüdnitz
    Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • D. Peene River
    The Peene River is a lowland river in northeastern Germany, often called the "Amazon of the North" for its largely untouched wetlands and rich biodiversity.
  • E. Ahr River
    The Ahr River is a tributary of the Rhine in western Germany, known for flowing through the Eifel region and its surrounding wine-growing valleys.
  • 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: Aken (Elbe)
Triple: [Anhalt-Bitterfeld, containsMunicipality, Aken (Elbe)]
Generated description
Aken (Elbe) is a small German town on the Elbe River in Saxony-Anhalt, known for its historic river port and medieval town center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aken (Elbe)
Target entity description: Aken (Elbe) is a small German town on the Elbe River in Saxony-Anhalt, known for its historic river port and medieval town center.
  • A. Chemnitz River
    The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
  • B. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • C. Rüdnitz
    Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • D. Peene River
    The Peene River is a lowland river in northeastern Germany, often called the "Amazon of the North" for its largely untouched wetlands and rich biodiversity.
  • E. Ahr River
    The Ahr River is a tributary of the Rhine in western Germany, known for flowing through the Eifel region and its surrounding wine-growing valleys.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67546248190b359c845c0161ad3 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d68d14c81908bde8ca0113f9503 completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ec1e74081908fc235ffd13ef301 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe13a00819095f5bec408435426 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:17 p.m.