Triple

T20184204
Position Surface form Disambiguated ID Type / Status
Subject Santa Margherita Ligure E492811 entity
Predicate nearby P350 FINISHED
Object Portofino 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: Portofino | Statement: [Santa Margherita Ligure, nearby, Portofino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portofino
Context triple: [Santa Margherita Ligure, nearby, Portofino]
  • A. Portofino, Italy chosen
    Portofino, Italy is a picturesque fishing village and exclusive resort town on the Italian Riviera, renowned for its colorful harborfront houses, luxury yachts, and scenic coastal setting.
  • B. Alassio
    Alassio is a picturesque seaside town in northwestern Italy known for its sandy beaches, mild climate, and charming historic center along the Ligurian Riviera.
  • C. Monterosso
    Monterosso is a British Thoroughbred racehorse best known for winning the 2012 Dubai World Cup.
  • D. Monterosso al Mare
    Monterosso al Mare is a coastal village in Liguria, Italy, known as the largest and most resort-oriented of the five towns that make up the Cinque Terre.
  • E. Lerici
    Lerici is a picturesque coastal town on Italy’s Ligurian Riviera, known for its historic castle, scenic harbor, and literary associations with poets like Percy Bysshe Shelley.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f199688190a42094cce220f6f2 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.