Triple

T1630622
Position Surface form Disambiguated ID Type / Status
Subject Lecco E35247 entity
Predicate region P40 FINISHED
Object Lombardy E19656 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: Lombardy | Statement: [Lecco, region, Lombardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lombardy
Context triple: [Lecco, region, Lombardy]
  • A. Lombardy chosen
    Lombardy is a populous and economically powerful region in northern Italy, known for its capital Milan and its role as a major European hub for finance, fashion, and industry.
  • B. Emilia-Romagna
    Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
  • C. Veneto
    Veneto is a region in northeastern Italy known for its historic cities like Venice and Verona, rich cultural heritage, and diverse landscapes ranging from the Adriatic coast to the Dolomite mountains.
  • D. La Marche
    La Marche is a historic province in central France known for its rural landscapes and role as a frontier region between major medieval territories.
  • E. Liguria
    Liguria is a coastal region in northwestern Italy known for its picturesque Riviera, including the Cinque Terre and the city of Genoa.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb3a9b634819086b44f1574e97dcb completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69af989789308190bb124c2c1706b68c completed March 10, 2026, 4:05 a.m.
Created at: March 4, 2026, 7:28 p.m.