Triple

T7442296
Position Surface form Disambiguated ID Type / Status
Subject Lombard language E171783 entity
Predicate hasDialect P4251 FINISHED
Object Cremonese Lombard E370538 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: Cremonese Lombard | Statement: [Lombard language, hasDialect, Cremonese Lombard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cremonese Lombard
Context triple: [Lombard language, hasDialect, Cremonese Lombard]
  • A. Bergamasque
    Bergamasque is a Gallo-Italic dialect spoken primarily in and around the city of Bergamo in northern Italy.
  • B. Brescian
    Brescian is a variety of the Lombard language traditionally spoken in and around the city of Brescia in northern Italy.
  • C. Cremonese (Lombard variety) chosen
    Cremonese is a regional variety of the Lombard language spoken in and around the city of Cremona in northern Italy.
  • D. Cremona
    Cremona is a historic city in northern Italy renowned for its tradition of violin making and its well-preserved medieval architecture.
  • E. Massa Lombarda
    Massa Lombarda is a small Italian town in the Emilia-Romagna region, known for its agricultural traditions and location within the fertile Po Valley.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36b9a3c81908abcc2a64d3e6061 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8344d4c408190a72f8f7718957f21 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:13 p.m.