Triple

T16359296
Position Surface form Disambiguated ID Type / Status
Subject Maddalena Archipelago E397268 entity
Predicate hasIsland P970 FINISHED
Object Santo Stefano E595499 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: Santo Stefano | Statement: [Maddalena Archipelago, hasIsland, Santo Stefano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Stefano
Context triple: [Maddalena Archipelago, hasIsland, Santo Stefano]
  • A. Santo Stefano chosen
    Santo Stefano is a small, historically significant Italian island in the Tyrrhenian Sea, known for its former Bourbon-era prison and rugged volcanic landscape.
  • B. Santo Stefano Lodigiano
    Santo Stefano Lodigiano is a small municipality in the Lombardy region of northern Italy, known for its rural character and location within the Province of Lodi.
  • C. Santo Stefano Belbo
    Santo Stefano Belbo is a small town in Italy’s Piedmont region, known for its wine production and as the birthplace of writer Cesare Pavese.
  • D. Santo Stefano al Mare
    Santo Stefano al Mare is a small coastal town and seaside resort on the Italian Riviera in Liguria, known for its beaches and Mediterranean charm.
  • E. San Pancrazio
    San Pancrazio is a Roman Catholic titular church in Rome traditionally assigned to a Cardinal-Priest.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad1859c819082b47bf9d7fabd9f completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbce2508190b655de87f48e841e completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.