Triple

T19316378
Position Surface form Disambiguated ID Type / Status
Subject Belbo E483107 entity
Predicate flowsThrough P225 FINISHED
Object Santo Stefano Belbo 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: Santo Stefano Belbo | Statement: [Belbo, flowsThrough, Santo Stefano Belbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Stefano Belbo
Context triple: [Belbo, flowsThrough, Santo Stefano Belbo]
  • A. Santo Stefano Belbo chosen
    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.
  • B. San Martino ai Monti
    San Martino ai Monti is a historic Roman Catholic basilica in Rome, Italy, renowned for its ancient origins and richly decorated interior.
  • C. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • D. Monterubbiano
    Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
  • E. Molo Beverello
    Molo Beverello is a major ferry and hydrofoil terminal on the waterfront of Naples, Italy, serving routes to nearby islands such as Capri, Ischia, and Procida.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d843640819089ff3738aae29eb1 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.