Triple

T599607
Position Surface form Disambiguated ID Type / Status
Subject Milan E11464 entity
Predicate capitalOf P204 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: [Milan, capitalOf, Lombardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lombardy
Context triple: [Milan, capitalOf, 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. Liguria
    Liguria is a coastal region in northwestern Italy known for its picturesque Riviera, including the Cinque Terre and the city of Genoa.
  • E. Marche region
    The Marche region is a central-eastern Italian region on the Adriatic coast, known for its historic hill towns, Renaissance art, and role in early 20th-century political events such as the March on Rome.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d78c0f08190b83ad89062ccb0b9 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55a734f6c8190a141dafc03dd2e77 completed March 2, 2026, 9:37 a.m.
Created at: March 1, 2026, 7:35 p.m.