Triple

T8032645
Position Surface form Disambiguated ID Type / Status
Subject Perledo E187023 entity
Predicate borders P224 FINISHED
Object Bellano E755609 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: Bellano | Statement: [Perledo, borders, Bellano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellano
Context triple: [Perledo, borders, Bellano]
  • A. Bellano chosen
    Bellano is a picturesque town on the eastern shore of Lake Como in northern Italy, known for its lakeside promenade and the dramatic Orrido di Bellano gorge.
  • B. Melegnano
    Melegnano is a town in the Lombardy region of northern Italy, historically notable as the site of major Renaissance-era battles including the Battle of Marignano.
  • C. Gaggiano
    Gaggiano is a small municipality in the Lombardy region of northern Italy, located near Milan and known for its historic canals and rural surroundings.
  • D. Lissone
    Lissone is a town in the Lombardy region of northern Italy, known as part of the Brianza area and recognized for its furniture and design industry.
  • E. Segrate
    Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef18da48190835454a5eb969da7 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf6e5358888190ad1b5771ca00a097 completed April 3, 2026, 7:37 a.m.
Created at: March 30, 2026, 5:22 p.m.