Triple

T4829159
Position Surface form Disambiguated ID Type / Status
Subject Monza E107899 entity
Predicate nearbyCity P350 FINISHED
Object Vimercate E315380 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: Vimercate | Statement: [Monza, nearbyCity, Vimercate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vimercate
Context triple: [Monza, nearbyCity, Vimercate]
  • A. Vimercate chosen
    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.
  • B. Busto Arsizio
    Busto Arsizio is an industrial city in the Lombardy region of northern Italy, known for its textile and manufacturing heritage and its location within the greater Milan metropolitan area.
  • C. Lodigiano
    Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
  • D. Voghera
    Voghera is a town in the Lombardy region of northern Italy, known historically as a local agricultural and commercial center.
  • E. 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.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc66c488190a49052e32411dc4b completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba49cac08190aa083ebeb52004eb completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:24 p.m.