Triple

T1862935
Position Surface form Disambiguated ID Type / Status
Subject Ventimiglia E34855 entity
Predicate nearbyCity P350 FINISHED
Object Sanremo 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: Sanremo | Statement: [Ventimiglia, nearbyCity, Sanremo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanremo
Context triple: [Ventimiglia, nearbyCity, Sanremo]
  • A. 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.
  • B. Ventimiglia
    Ventimiglia is a coastal town in northwestern Italy’s Liguria region, known as a key gateway between Italy and France and for its historic center and Mediterranean beaches.
  • C. Calvi
    Calvi is a coastal town and popular tourist destination on the northwest coast of the French island of Corsica, known for its historic citadel and scenic bay.
  • D. Viareggio
    Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
  • E. Genoa
    Genoa is a historic port city in northwestern Italy known for its significant maritime heritage, trade, and role as a major economic hub on the Ligurian coast.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09f856c8190807a7cf2a5f49fcb completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d7ffb9c8190adbe64b75bb048d4 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:34 p.m.