Triple

T16448587
Position Surface form Disambiguated ID Type / Status
Subject SS38 E399494 entity
Predicate connectsCity P4245 FINISHED
Object Sondrio E824000 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: Sondrio | Statement: [SS38, connectsCity, Sondrio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sondrio
Context triple: [SS38, connectsCity, 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 (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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdee44c8190ae0df20c58ff7558 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00a50665d081908c07fe3cb59088b3 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:10 a.m.