Triple

T20479274
Position Surface form Disambiguated ID Type / Status
Subject Ponte in Valtellina E502406 entity
Predicate hasProvince P285 FINISHED
Object Sondrio 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: Sondrio | Statement: [Ponte in Valtellina, hasProvince, Sondrio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sondrio
Context triple: [Ponte in Valtellina, hasProvince, Sondrio]
  • A. Sondrio chosen
    Sondrio is a small city in northern Italy’s Lombardy region, known as a gateway to the Alps and for its wine-producing Valtellina valley.
  • B. Lecco
    Lecco is an Italian town in the Lombardy region, known for its scenic location at the southeastern tip of Lake Como and its surrounding Alpine foothills.
  • C. Oderzo
    Oderzo is a historic town in northeastern Italy known for its ancient Roman origins and archaeological heritage.
  • D. Varese
    Varese is a city in northern Italy known for its lakeside setting, surrounding Prealps, and role as an important economic and cultural center in the Lombardy region.
  • E. Barzio
    Barzio is a small mountain town in northern Italy’s Lombardy region, known as a gateway to the Valsassina area and nearby ski resorts.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b54c8188190a71e35fab8d194a6 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.