Triple

T21575340
Position Surface form Disambiguated ID Type / Status
Subject Eranos conferences E532380 entity
Predicate location P40 FINISHED
Object Ascona, Switzerland 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: Ascona, Switzerland | Statement: [Eranos conferences, location, Ascona, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ascona, Switzerland
Context triple: [Eranos conferences, location, Ascona, Switzerland]
  • A. Ascona chosen
    Ascona is a picturesque resort town on the shores of Lake Maggiore in the Swiss canton of Ticino, known for its mild climate, lakeside promenade, and vibrant cultural scene.
  • B. Leukerbad
    Leukerbad is a Swiss Alpine village renowned for its thermal baths and mountain scenery in the canton of Valais.
  • C. Sorengo
    Sorengo is a small municipality in the canton of Ticino in southern Switzerland, located near Lugano.
  • D. Cernobbio
    Cernobbio is a picturesque town in northern Italy known for its lakeside villas and scenic location on the shores of Lake Como.
  • E. Baveno
    Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cfad308190b150bab9fbe826c9 completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.