Triple

T9434621
Position Surface form Disambiguated ID Type / Status
Subject Dahme E227470 entity
Predicate hasNameInLanguage P15 FINISHED
Object Dahme (German)
Dahme (German) is a German-language name that typically refers to a town or river in Germany, most commonly associated with locations in the state of Brandenburg.
 E799932 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: Dahme (German) | Statement: [Dahme, hasNameInLanguage, Dahme (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dahme (German)
Context triple: [Dahme, hasNameInLanguage, Dahme (German)]
  • A. Grevesmühlen
    Grevesmühlen is a small town in the German state of Mecklenburg-Vorpommern, known as a local administrative and service center in the north of the country.
  • B. Eckersmühlen
    Eckersmühlen is a village and district of the town of Roth in the Bavarian region of Germany.
  • C. Birkenwerder
    Birkenwerder is a small municipality in the German state of Brandenburg, located just north of Berlin and known for its residential character and surrounding forests.
  • D. Hohenfinow
    Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • E. Havelchaussee
    Havelchaussee is a scenic road in Berlin that runs along the Havel River, known for its wooded surroundings, waterfront views, and popularity with cyclists and motorists.
  • 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: Dahme (German)
Triple: [Dahme, hasNameInLanguage, Dahme (German)]
Generated description
Dahme (German) is a German-language name that typically refers to a town or river in Germany, most commonly associated with locations in the state of Brandenburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dahme (German)
Target entity description: Dahme (German) is a German-language name that typically refers to a town or river in Germany, most commonly associated with locations in the state of Brandenburg.
  • A. Grevesmühlen
    Grevesmühlen is a small town in the German state of Mecklenburg-Vorpommern, known as a local administrative and service center in the north of the country.
  • B. Eckersmühlen
    Eckersmühlen is a village and district of the town of Roth in the Bavarian region of Germany.
  • C. Birkenwerder
    Birkenwerder is a small municipality in the German state of Brandenburg, located just north of Berlin and known for its residential character and surrounding forests.
  • D. Hohenfinow
    Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • E. Havelchaussee
    Havelchaussee is a scenic road in Berlin that runs along the Havel River, known for its wooded surroundings, waterfront views, and popularity with cyclists and motorists.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e62d53c81908055e0967e6cd54d completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104a002481909ca805893bac61c6 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d110ffda7881908e4edd692b818464 completed April 4, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69d11190dd6c8190b6318df44daa9858 completed April 4, 2026, 1:26 p.m.
Created at: March 30, 2026, 7:50 p.m.