Triple

T7766018
Position Surface form Disambiguated ID Type / Status
Subject Rheinbach E176146 entity
Predicate hasRiver P165 FINISHED
Object Swist
Swist is a small river in North Rhine-Westphalia, Germany, that flows through the town of Rheinbach and into the Rhine basin.
 E687179 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: Swist | Statement: [Rheinbach, hasRiver, Swist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Swist
Context triple: [Rheinbach, hasRiver, Swist]
  • A. Swedru
    Swedru is a prominent commercial town in southern Ghana known for its role as a transport hub and marketplace in the Central Region.
  • B. Schistolais
    Schistolais is a small genus of African warblers known for their insectivorous habits and association with woodland and forest-edge habitats.
  • C. Zwenkau
    Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
  • D. Skwentna
    Skwentna is a small, remote community in south-central Alaska known as a checkpoint on the Iditarod Trail Sled Dog Race and for its access to wilderness recreation.
  • E. Zwyssig
    Zwyssig is a Swiss surname most notably associated with Alberich Zwyssig, the composer of the Swiss national anthem.
  • 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: Swist
Triple: [Rheinbach, hasRiver, Swist]
Generated description
Swist is a small river in North Rhine-Westphalia, Germany, that flows through the town of Rheinbach and into the Rhine basin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Swist
Target entity description: Swist is a small river in North Rhine-Westphalia, Germany, that flows through the town of Rheinbach and into the Rhine basin.
  • A. Swedru
    Swedru is a prominent commercial town in southern Ghana known for its role as a transport hub and marketplace in the Central Region.
  • B. Schistolais
    Schistolais is a small genus of African warblers known for their insectivorous habits and association with woodland and forest-edge habitats.
  • C. Zwenkau
    Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
  • D. Skwentna
    Skwentna is a small, remote community in south-central Alaska known as a checkpoint on the Iditarod Trail Sled Dog Race and for its access to wilderness recreation.
  • E. Zwyssig
    Zwyssig is a Swiss surname most notably associated with Alberich Zwyssig, the composer of the Swiss national anthem.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7043279748190b30882e9cc6cca54 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e1a1408190a802d4f4afb8dd05 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8b75b848190a67de2040d563f86 completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c941814081909d299df5cd714c71 completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 4:09 p.m.