Triple

T20909983
Position Surface form Disambiguated ID Type / Status
Subject Biosfera di Renzo Piano E514912 entity
Predicate location P40 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: [Biosfera di Renzo Piano, location, Liguria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liguria
Context triple: [Biosfera di Renzo Piano, location, 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec5d73c88190a48180a1eed88190 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.