Triple

T19840063
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Corte E476701 entity
Predicate contains P35 FINISHED
Object Vescovato 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: Vescovato | Statement: [Arrondissement of Corte, contains, Vescovato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vescovato
Context triple: [Arrondissement of Corte, contains, Vescovato]
  • A. Vescovato chosen
    Vescovato is a commune in the Haute-Corse department on the island of Corsica in France, known for its historic village setting and Mediterranean landscape.
  • B. Rovigotti
    Rovigotti are the inhabitants or natives of the Italian city of Rovigo, located in the Veneto region.
  • C. Pratovecchio
    Pratovecchio is a small historic town in Tuscany, central Italy, known for its medieval heritage and scenic setting in the Casentino valley.
  • D. Gavardo
    Gavardo is a town in the Lombardy region of northern Italy, situated near Lake Garda and serving as a local commercial and administrative center.
  • E. Guarcino
    Guarcino is a small historic town in the Lazio region of central Italy, situated in the traditional area known as Ciociaria.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65804be608190b49e110c3bf381bc completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:50 p.m.