Triple

T9096954
Position Surface form Disambiguated ID Type / Status
Subject Visp E218049 entity
Predicate locatedOnRiver P165 FINISHED
Object Vispa
Vispa is a river in the canton of Valais in southwestern Switzerland, known for flowing through the Mattertal and Saastal valleys before joining the Rhône.
 E777916 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: Vispa | Statement: [Visp, locatedOnRiver, Vispa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vispa
Context triple: [Visp, locatedOnRiver, Vispa]
  • A. Pichini
    Pichini is a small locality (frazione) within the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • B. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • C. Vashpa
    Vashpa is a figure in early Buddhist tradition known as one of the disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
  • D. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • E. Nasuella
    Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
  • 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: Vispa
Triple: [Visp, locatedOnRiver, Vispa]
Generated description
Vispa is a river in the canton of Valais in southwestern Switzerland, known for flowing through the Mattertal and Saastal valleys before joining the Rhône.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vispa
Target entity description: Vispa is a river in the canton of Valais in southwestern Switzerland, known for flowing through the Mattertal and Saastal valleys before joining the Rhône.
  • A. Pichini
    Pichini is a small locality (frazione) within the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • B. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • C. Vashpa
    Vashpa is a figure in early Buddhist tradition known as one of the disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
  • D. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • E. Nasuella
    Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019652fe8819096cccb8cff431261 completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a290de881909482b7eb70bef0e3 completed April 3, 2026, 7:51 p.m.
Created at: March 30, 2026, 7:15 p.m.