Triple

T13573253
Position Surface form Disambiguated ID Type / Status
Subject Hinterrhein E324216 entity
Predicate hasTributary P415 FINISHED
Object Nolla
Nolla is a river in the Swiss canton of Graubünden that flows through the Viamala region before joining the Hinterrhein.
 E1048235 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: Nolla | Statement: [Hinterrhein, hasTributary, Nolla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nolla
Context triple: [Hinterrhein, hasTributary, Nolla]
  • A. Killoscully
    Killoscully is a small rural village in Ireland known for its scenic countryside and traditional community character.
  • B. O'Herlihy
    O'Herlihy is an Irish surname associated with figures in film, television, and the arts.
  • C. Ninove
    Ninove is a city in the Belgian province of East Flanders, known for its historical center and past role in major cycling events.
  • D. Ervin
    Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
  • E. Parnell
    Parnell is one of Auckland’s oldest and most affluent inner-city suburbs, known for its historic architecture, boutique shopping, and vibrant café culture.
  • 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: Nolla
Triple: [Hinterrhein, hasTributary, Nolla]
Generated description
Nolla is a river in the Swiss canton of Graubünden that flows through the Viamala region before joining the Hinterrhein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nolla
Target entity description: Nolla is a river in the Swiss canton of Graubünden that flows through the Viamala region before joining the Hinterrhein.
  • A. Killoscully
    Killoscully is a small rural village in Ireland known for its scenic countryside and traditional community character.
  • B. O'Herlihy
    O'Herlihy is an Irish surname associated with figures in film, television, and the arts.
  • C. Ninove
    Ninove is a city in the Belgian province of East Flanders, known for its historical center and past role in major cycling events.
  • D. Ervin
    Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
  • E. Parnell
    Parnell is one of Auckland’s oldest and most affluent inner-city suburbs, known for its historic architecture, boutique shopping, and vibrant café culture.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb827d48190958e5710d554cd04 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77641e5308190a75bcffeb9bfd7b4 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:48 p.m.