Triple

T6792770
Position Surface form Disambiguated ID Type / Status
Subject Verbano-Cusio-Ossola E155972 entity
Predicate contains P35 FINISHED
Object Cannobio E464885 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: Cannobio | Statement: [Verbano-Cusio-Ossola, contains, Cannobio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannobio
Context triple: [Verbano-Cusio-Ossola, contains, Cannobio]
  • A. Cannobio chosen
    Cannobio is a picturesque Italian town in the Piedmont region, known for its historic lakeside promenade and scenic setting on the shores of Lake Maggiore near the Swiss border.
  • B. Bussolengo
    Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
  • C. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • D. Sabbioneta
    Sabbioneta is a Renaissance-era planned town in northern Italy renowned for its well-preserved urban layout, architecture, and cultural heritage.
  • E. Montebelluna
    Montebelluna is a town in the Veneto region of northern Italy, known for its footwear industry and proximity to the foothills of the Dolomite mountains.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2af6f908190809e39b73894e513 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8eaefc819098e848b3012da749 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.