Triple

T1654770
Position Surface form Disambiguated ID Type / Status
Subject Saalekreis E35772 entity
Predicate contains P35 FINISHED
Object Mücheln (Geiseltal)
Mücheln (Geiseltal) is a small town in the German state of Saxony-Anhalt, known for its location near the Geiseltal lake in a former lignite mining region.
 E187001 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: Mücheln (Geiseltal) | Statement: [Saalekreis, contains, Mücheln (Geiseltal)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mücheln (Geiseltal)
Context triple: [Saalekreis, contains, Mücheln (Geiseltal)]
  • A. Egelsbach
    Egelsbach is a municipality in the German state of Hesse, located between Frankfurt am Main and Darmstadt and known for its general aviation airfield.
  • B. Hallbergmoos
    Hallbergmoos is a municipality in Bavaria, Germany, known for hosting major aerospace and technology companies near Munich.
  • C. Sasbach
    Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
  • D. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • E. Dörflingen
    Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
  • 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: Mücheln (Geiseltal)
Triple: [Saalekreis, contains, Mücheln (Geiseltal)]
Generated description
Mücheln (Geiseltal) is a small town in the German state of Saxony-Anhalt, known for its location near the Geiseltal lake in a former lignite mining region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mücheln (Geiseltal)
Target entity description: Mücheln (Geiseltal) is a small town in the German state of Saxony-Anhalt, known for its location near the Geiseltal lake in a former lignite mining region.
  • A. Egelsbach
    Egelsbach is a municipality in the German state of Hesse, located between Frankfurt am Main and Darmstadt and known for its general aviation airfield.
  • B. Hallbergmoos
    Hallbergmoos is a municipality in Bavaria, Germany, known for hosting major aerospace and technology companies near Munich.
  • C. Sasbach
    Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
  • D. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • E. Dörflingen
    Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8b597c81908a62b41718d85df6 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ad3bb48190a096ff7813748168 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad61ff65b881909009c230780a146e completed March 8, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad62ec3a80819085fef1c378b9abdc completed March 8, 2026, 11:52 a.m.
Created at: March 4, 2026, 7:29 p.m.