Triple

T7464378
Position Surface form Disambiguated ID Type / Status
Subject Leer (district) E176335 entity
Predicate hasRiver P165 FINISHED
Object Jümme
Jümme is a small river in Lower Saxony, Germany, known for flowing through the Leer district and contributing to the region’s network of waterways and wetlands.
 E666415 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: Jümme | Statement: [Leer (district), hasRiver, Jümme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jümme
Context triple: [Leer (district), hasRiver, Jümme]
  • A. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • B. Talgje
    Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • C. Samnaun
    Samnaun is a Swiss alpine village and duty-free ski resort in the Engadin valley, known for its extensive cross-border ski area shared with the Austrian resort of Ischgl.
  • D. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • E. Sixten
    Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
  • 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: Jümme
Triple: [Leer (district), hasRiver, Jümme]
Generated description
Jümme is a small river in Lower Saxony, Germany, known for flowing through the Leer district and contributing to the region’s network of waterways and wetlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jümme
Target entity description: Jümme is a small river in Lower Saxony, Germany, known for flowing through the Leer district and contributing to the region’s network of waterways and wetlands.
  • A. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • B. Talgje
    Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • C. Samnaun
    Samnaun is a Swiss alpine village and duty-free ski resort in the Engadin valley, known for its extensive cross-border ski area shared with the Austrian resort of Ischgl.
  • D. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • E. Sixten
    Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d9d25c819087efc772b5b127fa completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8346adb3081908f049d8dcd623215 completed March 28, 2026, 8:04 p.m.
NEDg Description generation batch_69c835904be081908fa9317eb5568d82 completed March 28, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69c83621b32c8190bd4b289b5f9f1764 completed March 28, 2026, 8:12 p.m.
Created at: March 27, 2026, 3:40 p.m.