Triple

T17925237
Position Surface form Disambiguated ID Type / Status
Subject Val Po E448176 entity
Predicate hasRoadAccessFrom P22549 FINISHED
Object Saluzzo 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: Saluzzo | Statement: [Val Po, hasRoadAccessFrom, Saluzzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saluzzo
Context triple: [Val Po, hasRoadAccessFrom, Saluzzo]
  • A. Saluzzo chosen
    Saluzzo is a historic town in the Piedmont region of northwestern Italy, known for its well-preserved medieval center and cultural heritage.
  • B. Ornavasso
    Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
  • C. Calolziocorte
    Calolziocorte is a town and municipality in the Lombardy region of northern Italy, situated near Lake Como and the Adda River.
  • D. Grugliasco
    Grugliasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
  • E. Bussolengo
    Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54cf8188190b9bd676443418c23 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.