Triple

T10834679
Position Surface form Disambiguated ID Type / Status
Subject Diemel E255721 entity
Predicate hasTributary P415 FINISHED
Object Twiste
Twiste is a river in central Germany that serves as a tributary of the Diemel, flowing through the states of Hesse and North Rhine-Westphalia.
 E888725 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: Twiste | Statement: [Diemel, hasTributary, Twiste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Twiste
Context triple: [Diemel, hasTributary, Twiste]
  • A. Gilot
    Gilot is a French surname most notably borne by Françoise Gilot, the painter and writer known for her long relationship with Pablo Picasso.
  • B. Taaffe
    Taaffe is a surname of Irish origin borne by various notable individuals across fields such as politics, the arts, and academia.
  • C. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • D. Schultheiss
    Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
  • E. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • 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: Twiste
Triple: [Diemel, hasTributary, Twiste]
Generated description
Twiste is a river in central Germany that serves as a tributary of the Diemel, flowing through the states of Hesse and North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Twiste
Target entity description: Twiste is a river in central Germany that serves as a tributary of the Diemel, flowing through the states of Hesse and North Rhine-Westphalia.
  • A. Gilot
    Gilot is a French surname most notably borne by Françoise Gilot, the painter and writer known for her long relationship with Pablo Picasso.
  • B. Taaffe
    Taaffe is a surname of Irish origin borne by various notable individuals across fields such as politics, the arts, and academia.
  • C. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • D. Schultheiss
    Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
  • E. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74425447081908fb51c7edf54af67 completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb11a264c8190829ff89f0b13d063 completed April 14, 2026, 9:26 p.m.
NEDg Description generation batch_69deb4deef988190bfcf9a9529738899 completed April 14, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69deb54876ac81909222a7c25bccefe5 completed April 14, 2026, 9:44 p.m.
Created at: April 8, 2026, 9:19 p.m.