Triple

T17177498
Position Surface form Disambiguated ID Type / Status
Subject Todtnau E416898 entity
Predicate locatedOn P40 FINISHED
Object River Wiese
The River Wiese is a river in southwestern Germany and northwestern Switzerland that flows through the Black Forest region before joining the Rhine near Basel.
 E1300831 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: River Wiese | Statement: [Todtnau, locatedOn, River Wiese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Wiese
Context triple: [Todtnau, locatedOn, River Wiese]
  • A. Blies
    The Blies is a river in western Germany and northeastern France that flows through the Saarland region before joining the Saar River.
  • B. Rheine
    Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
  • C. Weser
    The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
  • D. Fulda River
    The Fulda River is a major river in central Germany that flows through the state of Hesse and joins the Werra River at Hann. Münden to form the Weser.
  • E. river Sieg
    The river Sieg is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and Rhineland-Palatinate and giving its name to several nearby towns.
  • 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: River Wiese
Triple: [Todtnau, locatedOn, River Wiese]
Generated description
The River Wiese is a river in southwestern Germany and northwestern Switzerland that flows through the Black Forest region before joining the Rhine near Basel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: River Wiese
Target entity description: The River Wiese is a river in southwestern Germany and northwestern Switzerland that flows through the Black Forest region before joining the Rhine near Basel.
  • A. Blies
    The Blies is a river in western Germany and northeastern France that flows through the Saarland region before joining the Saar River.
  • B. Rheine
    Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
  • C. Weser
    The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
  • D. Fulda River
    The Fulda River is a major river in central Germany that flows through the state of Hesse and joins the Werra River at Hann. Münden to form the Weser.
  • E. river Sieg
    The river Sieg is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and Rhineland-Palatinate and giving its name to several nearby towns.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0ee5008190a73875b39841fd9f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03430a027c8190b5cc71fd18fe9603 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a03441695948190ba06d4015c219f87 completed May 12, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a03447f873c8190b63c40afb8f055d9 completed May 12, 2026, 3:17 p.m.
Created at: April 10, 2026, 5:37 a.m.