Triple

T12335950
Position Surface form Disambiguated ID Type / Status
Subject Gianfranco Ferré E294085 entity
Predicate placeOfBirth P1 FINISHED
Object Legnano E329532 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: Legnano | Statement: [Gianfranco Ferré, placeOfBirth, Legnano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legnano
Context triple: [Gianfranco Ferré, placeOfBirth, Legnano]
  • A. Legnano chosen
    Legnano is a town in the Lombardy region of northern Italy, historically known for its medieval Battle of Legnano and its industrial development.
  • B. Cassano d’Adda
    Cassano d’Adda is a town in the Lombardy region of northern Italy, situated along the Adda River northeast of Milan.
  • C. Galbiate
    Galbiate is a small Italian town in the Lombardy region, known for its scenic setting near Lake Annone and the foothills of the Alps.
  • D. Saronno
    Saronno is an Italian town in Lombardy known for its traditional amaretto liqueur and almond-flavored confections.
  • E. 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.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b7e7454819099d89db93d0fc1ea completed May 3, 2026, 12:49 a.m.
Created at: April 8, 2026, 9:53 p.m.