Triple

T21290010
Position Surface form Disambiguated ID Type / Status
Subject Sarca River E524760 entity
Predicate flowsThrough P225 FINISHED
Object Valle dei Laghi 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: Valle dei Laghi | Statement: [Sarca River, flowsThrough, Valle dei Laghi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valle dei Laghi
Context triple: [Sarca River, flowsThrough, Valle dei Laghi]
  • A. Valle dei Laghi chosen
    Valle dei Laghi is a scenic valley area in northern Italy known for its chain of alpine lakes, vineyards, and mild climate within the Trentino region.
  • B. Verzasca Valley
    Verzasca Valley is a picturesque alpine valley in southern Switzerland known for its emerald-green river, stone villages, and dramatic mountain scenery.
  • C. Swiss Lake District
    The Swiss Lake District is a scenic region in Switzerland renowned for its picturesque lakeside towns, mild climate, and popular holiday resorts.
  • D. Valsassina
    Valsassina is an Alpine valley in the Lombardy region of northern Italy, known for its scenic landscapes, traditional villages, and dairy production.
  • E. Lake St. Moritz
    Lake St. Moritz is a scenic alpine lake in the Swiss resort town of St. Moritz, renowned for winter sports events, including horse racing and polo on its frozen surface.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d9467881908ec5b1dec76e6f5d completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.