Triple

T1765981
Position Surface form Disambiguated ID Type / Status
Subject Alb-Donau-Kreis E38763 entity
Predicate hasRiver P165 FINISHED
Object Iller
The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
 E197465 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: Iller | Statement: [Alb-Donau-Kreis, hasRiver, Iller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iller
Context triple: [Alb-Donau-Kreis, hasRiver, Iller]
  • A. Lakelands
    Lakelands is a New Urbanist-style planned residential community in Gaithersburg, Maryland, known for its walkable streets, mixed-use design, and small-town feel.
  • B. Doaba
    Doaba is a culturally rich region of Punjab in northern India, historically known for its fertile land between the Beas and Sutlej rivers and its significant Punjabi diaspora.
  • C. La Plaine
    La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
  • D. Issel
    Issel is a surname most notably associated with Dan Issel, a Hall of Fame American basketball player and coach.
  • E. Sauk
    The Sauk are a Native American people originally from the Great Lakes region, known for their resistance to U.S. expansion and their prominent leader Black Hawk.
  • 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: Iller
Triple: [Alb-Donau-Kreis, hasRiver, Iller]
Generated description
The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iller
Target entity description: The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
  • A. Lakelands
    Lakelands is a New Urbanist-style planned residential community in Gaithersburg, Maryland, known for its walkable streets, mixed-use design, and small-town feel.
  • B. Doaba
    Doaba is a culturally rich region of Punjab in northern India, historically known for its fertile land between the Beas and Sutlej rivers and its significant Punjabi diaspora.
  • C. La Plaine
    La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
  • D. Issel
    Issel is a surname most notably associated with Dan Issel, a Hall of Fame American basketball player and coach.
  • E. Sauk
    The Sauk are a Native American people originally from the Great Lakes region, known for their resistance to U.S. expansion and their prominent leader Black Hawk.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6467c3f08190abc8a06269ede908 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0f37a28819086c35c9f7a07dea9 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada4da6a988190847452139e1c210d completed March 8, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_69ada55d96b88190a4a5c6973d69592d completed March 8, 2026, 4:35 p.m.
Created at: March 4, 2026, 7:31 p.m.