Triple

T9209015
Position Surface form Disambiguated ID Type / Status
Subject Province of Arezzo E221062 entity
Predicate hasHistoricRegion P5057 FINISHED
Object Casentino E534593 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: Casentino | Statement: [Province of Arezzo, hasHistoricRegion, Casentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casentino
Context triple: [Province of Arezzo, hasHistoricRegion, Casentino]
  • A. Casentino chosen
    Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
  • B. Vinchio
    Vinchio is a small village in Italy’s Piedmont region, known for its vineyards and location within the historic Monferrato wine-producing area.
  • C. Pescorocchiano
    Pescorocchiano is a small Italian municipality in the Lazio region, known for its rural landscape and historic hilltop setting within the Province of Rieti.
  • D. Calderara di Reno
    Calderara di Reno is a municipality in the Emilia-Romagna region of northern Italy, situated near the city of Bologna.
  • E. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b3c8c081909a688ce699928fc0 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1adc2508190b8a24510ee61f092 completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:26 p.m.