Triple

T16848595
Position Surface form Disambiguated ID Type / Status
Subject Mattertal E409610 entity
Predicate tributaryOf P415 FINISHED
Object Vispa E777916 NE FINISHED

How this triple was built (2 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: [Mattertal, tributaryOf, Vispa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vispa
Context triple: [Mattertal, tributaryOf, Vispa]
  • A. Vispa chosen
    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.
  • B. Pichini
    Pichini is a small locality (frazione) within the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • C. Briosa
    Briosa is the popular nickname of Associação Académica de Coimbra’s football team, a historic Portuguese club closely linked to the University of Coimbra and its student culture.
  • D. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b377b5d881909f0878dd9957f3bc completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1d555c8190883c82e562b7bfe9 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.