Triple

T11912939
Position Surface form Disambiguated ID Type / Status
Subject Province of Brescia E283438 entity
Predicate contains P35 FINISHED
Object Lumezzane E714906 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: Lumezzane | Statement: [Province of Brescia, contains, Lumezzane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumezzane
Context triple: [Province of Brescia, contains, Lumezzane]
  • A. Lumezzane chosen
    Lumezzane is an Italian football club based in the town of Lumezzane in Lombardy, known for developing players such as Mario Balotelli.
  • B. Calolziocorte
    Calolziocorte is a town and municipality in the Lombardy region of northern Italy, situated near Lake Como and the Adda River.
  • C. Lodigiano
    Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
  • D. Legnago
    Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
  • E. Oderzo
    Oderzo is a historic town in northeastern Italy known for its ancient Roman origins and archaeological heritage.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e528f6748190ac873a040a61fa93 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f62a74cd8c8190a1b2aac622b11edc completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:44 p.m.