Triple

T7500545
Position Surface form Disambiguated ID Type / Status
Subject Lesum E177246 entity
Predicate confluenceOf P2416 FINISHED
Object Wümme
The Wümme is a river in northern Germany that flows through Lower Saxony and Bremen before joining with the Hamme to form the Lesum.
E668618 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: Wümme | Statement: [Lesum, confluenceOf, Wümme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wümme
Context triple: [Lesum, confluenceOf, Wümme]
  • A. Schlei
    Schlei is a narrow Baltic Sea inlet in northern Germany that resembles a river and is known for its scenic landscapes and historic towns.
  • B. Dahme
    The Dahme is a river in eastern Germany that flows through Brandenburg and Berlin before joining the Spree.
  • C. river Hönne
    The river Hönne is a small river in North Rhine-Westphalia, Germany, known for flowing through the Sauerland region and the town of Menden, with notable limestone gorges and caves along its course.
  • D. Weser
    The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
  • E. 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.
  • 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: Wümme
Triple: [Lesum, confluenceOf, Wümme]
Generated description
The Wümme is a river in northern Germany that flows through Lower Saxony and Bremen before joining with the Hamme to form the Lesum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wümme
Target entity description: The Wümme is a river in northern Germany that flows through Lower Saxony and Bremen before joining with the Hamme to form the Lesum.
  • A. Schlei
    Schlei is a narrow Baltic Sea inlet in northern Germany that resembles a river and is known for its scenic landscapes and historic towns.
  • B. Dahme
    The Dahme is a river in eastern Germany that flows through Brandenburg and Berlin before joining the Spree.
  • C. river Hönne
    The river Hönne is a small river in North Rhine-Westphalia, Germany, known for flowing through the Sauerland region and the town of Menden, with notable limestone gorges and caves along its course.
  • D. Weser
    The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
  • E. 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.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59aabb8819085bdbe9c793d5b8b completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9490fc81908d35c0537b45aa13 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e17c25c8190a7a329f0a6169fac completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83ef9ce408190907a62c9d0a6dc16 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:44 p.m.