Triple

T1616734
Position Surface form Disambiguated ID Type / Status
Subject Davos E34734 entity
Predicate locatedOnRiver P165 FINISHED
Object Landwasser
Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
 E183972 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: Landwasser | Statement: [Davos, locatedOnRiver, Landwasser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Landwasser
Context triple: [Davos, locatedOnRiver, Landwasser]
  • A. The Lake
    The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
  • B. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • C. The Lake
    The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
  • D. Vannin
    Vannin is the Manx name for the Isle of Man, a self-governing British Crown dependency in the Irish Sea.
  • E. Pescina
    Pescina is a small town in the Abruzzo region of central Italy, known as the birthplace of Cardinal Mazarin and for its historic medieval architecture.
  • 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: Landwasser
Triple: [Davos, locatedOnRiver, Landwasser]
Generated description
Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Landwasser
Target entity description: Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
  • A. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • B. The Lake
    The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
  • C. The Lake
    The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
  • D. Vannin
    Vannin is the Manx name for the Isle of Man, a self-governing British Crown dependency in the Irish Sea.
  • E. Pescina
    Pescina is a small town in the Abruzzo region of central Italy, known as the birthplace of Cardinal Mazarin and for its historic medieval architecture.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909abbec081908f95547471530ad5 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58c6d7e88190b9fc0e34a007a2f5 completed March 8, 2026, 11:08 a.m.
NEDg Description generation batch_69ad5a165434819097dc861a840a5f5f completed March 8, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_69ad5ac1a0308190bd51ae91e10fd8d7 completed March 8, 2026, 11:17 a.m.
Created at: March 4, 2026, 7:28 p.m.