Triple

T8657988
Position Surface form Disambiguated ID Type / Status
Subject Kyffhäuserkreis E205469 entity
Predicate hasRiver P165 FINISHED
Object Wipper
The Wipper is a river in central Germany that flows through the Kyffhäuserkreis district and ultimately feeds into the Unstrut.
 E748790 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: Wipper | Statement: [Kyffhäuserkreis, hasRiver, Wipper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wipper
Context triple: [Kyffhäuserkreis, hasRiver, Wipper]
  • A. Welper
    Welper is a district of the town of Hattingen in North Rhine-Westphalia, Germany.
  • B. Weener
    Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
  • C. Weyer
    Weyer is a village and district within the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
  • D. Wiske
    Wiske is a small river in North Yorkshire, England, known as one of the tributaries feeding into the River Swale.
  • E. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • 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: Wipper
Triple: [Kyffhäuserkreis, hasRiver, Wipper]
Generated description
The Wipper is a river in central Germany that flows through the Kyffhäuserkreis district and ultimately feeds into the Unstrut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wipper
Target entity description: The Wipper is a river in central Germany that flows through the Kyffhäuserkreis district and ultimately feeds into the Unstrut.
  • A. Welper
    Welper is a district of the town of Hattingen in North Rhine-Westphalia, Germany.
  • B. Weener
    Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
  • C. Weyer
    Weyer is a village and district within the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
  • D. Wiske
    Wiske is a small river in North Yorkshire, England, known as one of the tributaries feeding into the River Swale.
  • E. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486d576081908ad28749c7971432 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccec941881908263cd3205f10ccd completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8d530081908f5a52d5d76bd414 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf7c66308190b9fb87bc0ab510a8 completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:30 p.m.