Triple

T22032568
Position Surface form Disambiguated ID Type / Status
Subject Giancarlo Giannini E544121 entity
Predicate placeOfBirth P1 FINISHED
Object La Spezia 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: La Spezia | Statement: [Giancarlo Giannini, placeOfBirth, La Spezia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Spezia
Context triple: [Giancarlo Giannini, placeOfBirth, La Spezia]
  • A. La Spezia chosen
    La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
  • B. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • C. Livorno
    Livorno is a settlement in Wanica District, Suriname, known as a suburban community near the capital city of Paramaribo.
  • D. Savona
    Savona is a coastal city and port in the Liguria region of northwestern Italy, known historically as a strategic maritime center on the Italian Riviera.
  • E. Savona
    Savona is a small unincorporated community in British Columbia, Canada, located on the shores of Kamloops Lake west of the city of Kamloops.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ee84848190a22c24bf14498520 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.