Triple

T1558230
Position Surface form Disambiguated ID Type / Status
Subject Weser E33257 entity
Predicate tributary P415 FINISHED
Object Diemel
The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
 E255721 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: Diemel | Statement: [Weser, tributary, Diemel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diemel
Context triple: [Weser, tributary, Diemel]
  • A. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • B. Dommel
    The Dommel is a river in the southern Netherlands and northern Belgium that flows through cities including Eindhoven before joining the Dieze.
  • C. Meuse
    Meuse is a department in northeastern France known for its rural landscapes and significant World War I battlefields, including Verdun.
  • D. Meuse
    The Meuse is a major European river flowing through France, Belgium, and the Netherlands, historically important for transport, trade, and the development of surrounding regions.
  • E. Rupel
    The Rupel is a short river in northern Belgium that flows through the province of Antwerp and joins the Scheldt near the town of Rupelmonde.
  • 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: Diemel
Triple: [Weser, tributary, Diemel]
Generated description
The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diemel
Target entity description: The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
  • A. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • B. Dommel
    The Dommel is a river in the southern Netherlands and northern Belgium that flows through cities including Eindhoven before joining the Dieze.
  • C. Meuse
    Meuse is a department in northeastern France known for its rural landscapes and significant World War I battlefields, including Verdun.
  • D. Meuse
    The Meuse is a major European river flowing through France, Belgium, and the Netherlands, historically important for transport, trade, and the development of surrounding regions.
  • E. Rupel
    The Rupel is a short river in northern Belgium that flows through the province of Antwerp and joins the Scheldt near the town of Rupelmonde.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae891d41d88190aec6987c64c99757 completed March 9, 2026, 8:47 a.m.
NEDg Description generation batch_69ae8b0b27cc819099a5df60d678d3e2 completed March 9, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b79633881908acf94f8db389c0f completed March 9, 2026, 8:57 a.m.
Created at: March 4, 2026, 7:27 p.m.