Triple

T12372287
Position Surface form Disambiguated ID Type / Status
Subject Franco Alfano E295031 entity
Predicate placeOfDeath P21 FINISHED
Object San Remo E25039 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: San Remo | Statement: [Franco Alfano, placeOfDeath, San Remo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Remo
Context triple: [Franco Alfano, placeOfDeath, San Remo]
  • A. San Remigio
    San Remigio is a coastal municipality in the province of Cebu in the Philippines, known for its long stretch of white-sand beaches and dive spots.
  • B. Sanremo chosen
    Sanremo is a coastal city on Italy’s Ligurian Riviera, known as a historic resort destination and host of the annual Sanremo Music Festival.
  • C. Bordighera
    Bordighera is a coastal town on the Italian Riviera in Liguria, known for its mild climate, palm-lined seafront, and historic appeal as a 19th-century resort.
  • D. Santa Margherita Ligure
    Santa Margherita Ligure is a picturesque seaside town in northwestern Italy known for its colorful harborfront, elegant villas, and proximity to Portofino on the Italian Riviera.
  • 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 (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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa7c9ec81908c685612994543e3 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66854281c8190bd8d21d501cddb89 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:54 p.m.