Triple

T3645532
Position Surface form Disambiguated ID Type / Status
Subject San Savino E77290 entity
Predicate municipalitySeat P15510 FINISHED
Object Predappio E8064 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: Predappio | Statement: [San Savino, municipalitySeat, Predappio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Predappio
Context triple: [San Savino, municipalitySeat, Predappio]
  • A. Predappio chosen
    Predappio is a small town in Italy’s Emilia-Romagna region, best known as the birthplace of fascist dictator Benito Mussolini and a site of related historical tourism and controversy.
  • B. Tarvisio
    Tarvisio is a northeastern Italian town in Friuli Venezia Giulia, known as a mountain resort and transport hub near the borders with Austria and Slovenia in the Julian Alps.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Varedo
    Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
  • E. Valperga
    Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35da84c81908950de92ba171fa3 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c38f989c8190befc64db51041a53 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:24 p.m.