Triple

T11512872
Position Surface form Disambiguated ID Type / Status
Subject Canzo E272957 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Brianza E915867 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: Brianza | Statement: [Canzo, hasCulturalRegion, Brianza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brianza
Context triple: [Canzo, hasCulturalRegion, Brianza]
  • A. Brianza chosen
    Brianza is a hilly, densely populated area in northern Italy’s Lombardy region, known for its industrial towns, affluent suburbs, and proximity to Milan.
  • B. Lombardy
    Lombardy is a populous and economically powerful region in northern Italy, known for its capital Milan and its role as a major European hub for finance, fashion, and industry.
  • C. Canavese area
    The Canavese area is a historical and geographical region in northern Piedmont, Italy, known for its rolling hills, medieval castles, vineyards, and proximity to the Alps.
  • D. Massa Lombarda
    Massa Lombarda is a small Italian town in the Emilia-Romagna region, known for its agricultural traditions and location within the fertile Po Valley.
  • E. Valsesia
    Valsesia is a scenic alpine valley in Italy’s Piedmont region, known for its mountain landscapes, outdoor sports, and traditional villages.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db7af688190b68668eb39d382a8 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6852a23688190a3fe8e5508435661 completed April 20, 2026, 7:57 p.m.
Created at: April 8, 2026, 9:36 p.m.