Triple

T1862953
Position Surface form Disambiguated ID Type / Status
Subject Ventimiglia E34855 entity
Predicate locatedWestOf P4239 FINISHED
Object Imperia E251904 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: Imperia | Statement: [Ventimiglia, locatedWestOf, Imperia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imperia
Context triple: [Ventimiglia, locatedWestOf, Imperia]
  • A. Imperia chosen
    Imperia is a coastal city in northwestern Italy’s Liguria region, known for its olive oil production, historic port, and seaside tourism.
  • B. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • C. Cuneo
    Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
  • D. Alessandria
    Alessandria is a city in the Piedmont region of northwestern Italy, known as an important industrial and transportation hub.
  • E. 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.
  • 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_69af9040c20c8190aaae6f22fc893032 completed March 10, 2026, 3:30 a.m.
Created at: March 4, 2026, 7:34 p.m.