Triple

T19204987
Position Surface form Disambiguated ID Type / Status
Subject Genoa Cristoforo Colombo Airport E480208 entity
Predicate servesRegion P82 FINISHED
Object Liguria NE NERFINISHED

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: Liguria | Statement: [Genoa Cristoforo Colombo Airport, servesRegion, Liguria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liguria
Context triple: [Genoa Cristoforo Colombo Airport, servesRegion, Liguria]
  • A. Liguria chosen
    Liguria is a coastal region in northwestern Italy known for its picturesque Riviera, including the Cinque Terre and the city of Genoa.
  • B. Piemonte
    Piemonte is a region in northwestern Italy known for its rich culinary traditions, prestigious wines like Barolo and Barbaresco, and the industrial city of Turin.
  • C. 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.
  • D. Il Lombardia
    Il Lombardia is one of professional road cycling’s five prestigious Monuments, a historic one-day classic held in Italy and renowned for its hilly, scenic route and late-season timing.
  • E. Emilia-Romagna
    Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99cc39c81909499b8d0b78b4665 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:17 p.m.