Triple

T13230451
Position Surface form Disambiguated ID Type / Status
Subject Paderborn E315002 entity
Predicate hasRiver P165 FINISHED
Object Pader
Pader is a short river in western Germany that flows through the city of Paderborn and is known as one of the country's shortest rivers.
 E1028962 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: Pader | Statement: [Paderborn, hasRiver, Pader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pader
Context triple: [Paderborn, hasRiver, Pader]
  • A. Pader
    Pader is a town in northern Uganda that serves as an administrative and commercial center in the Acholi sub-region.
  • B. Neustadt
    Neustadt is a district of the Austrian city of Salzburg, known for its central urban character within the historic and cultural landscape of the city.
  • C. Neustadt
    Neustadt is a vibrant district of Dresden, Germany, known for its historic architecture, lively arts scene, and numerous bars, cafes, and cultural venues.
  • D. Duderstadt
    Duderstadt is a historic small town in southern Lower Saxony, Germany, known for its well-preserved medieval timber-framed architecture and role as a regional center in the Eichsfeld area.
  • E. Caputh
    Caputh is a village in Brandenburg, Germany, known for its scenic lakeside setting near Potsdam and for hosting Albert Einstein’s summer house.
  • 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: Pader
Triple: [Paderborn, hasRiver, Pader]
Generated description
Pader is a short river in western Germany that flows through the city of Paderborn and is known as one of the country's shortest rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pader
Target entity description: Pader is a short river in western Germany that flows through the city of Paderborn and is known as one of the country's shortest rivers.
  • A. Pader
    Pader is a town in northern Uganda that serves as an administrative and commercial center in the Acholi sub-region.
  • B. Neustadt
    Neustadt is a district of the Austrian city of Salzburg, known for its central urban character within the historic and cultural landscape of the city.
  • C. Neustadt
    Neustadt is a vibrant district of Dresden, Germany, known for its historic architecture, lively arts scene, and numerous bars, cafes, and cultural venues.
  • D. Duderstadt
    Duderstadt is a historic small town in southern Lower Saxony, Germany, known for its well-preserved medieval timber-framed architecture and role as a regional center in the Eichsfeld area.
  • E. Caputh
    Caputh is a village in Brandenburg, Germany, known for its scenic lakeside setting near Potsdam and for hosting Albert Einstein’s summer house.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2c07488190ad07c544cca63a7d completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70408b2088190989c3b38a5d66495 completed May 3, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69f70518acc0819089a987abfd42f928 completed May 3, 2026, 8:19 a.m.
Created at: April 9, 2026, 9:21 p.m.