Triple

T17629199
Position Surface form Disambiguated ID Type / Status
Subject Saas-Balen E429929 entity
Predicate locatedOnRiver P165 FINISHED
Object Vispa NE NERFINISHED

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: [Saas-Balen, locatedOnRiver, Vispa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vispa
Context triple: [Saas-Balen, locatedOnRiver, 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 (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbf59dc8190a56aa4a2449b2e2e completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.